erp system in the logistics information management system

11
Research Article ERP System in the Logistics Information Management System of Supply Chain Enterprises Qingping Li and Guoqiang Wu School of Economics and Management, Huainan Normal University, Huainan 232001, Anhui, China Correspondence should be addressed to Guoqiang Wu; [email protected] Received 15 July 2021; Revised 4 September 2021; Accepted 11 September 2021; Published 13 October 2021 Academic Editor: Sang-Bing Tsai Copyright © 2021 Qingping Li and Guoqiang Wu. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In the era of rapid development of information, with the popularization of computers, the development of science and technology, and the continuous growth of IT technology and business, the enterprise resource planning (ERP) system has become a platform and guarantee for the completion of business management processes after long-term operations. Establishing a logistics management information system is an important means for Chinese companies to improve their logistics efficiency. is is the prerequisite for modern companies to gain a competitive advantage in the management of logistics companies. erefore, organizations must adapt to different needs, fierce competition, and rapid strategic changes. is is a powerful supplement to the nature of logistics companies. e logistics management information system has continuously experienced the processes of MRP, MRP II, and ERP. is article aims to study how to use computers in logistics management to create an ERP system-based enterprise logistics information management system. is article puts forward the development significance of logistics in- formation management system, uses ERP system to analyze complex logistics business in detail, and designs the overall framework, specific functions, and data model of the system in detail. e experimental results of this paper show that the ERP system has important application value in the logistics information management system of supply chain enterprises, and it can effectively increase the value of customer satisfaction by 86.7%. 1. Introduction With the rapid development of human society, people’s social work isolation has improved, and the relationship between enterprises has become closer. In order to provide more transportation and higher data management for cooperation between enterprises, especially with the rapid development of the industry, logistics information man- agement based on information, automation, network, and intelligent information is the most important feature of modern logistics information management. With the continuous development of logistics enterprises, the company’s logistics information management has also developed day by day, and related operators have become more and more important. At the same time, modern business development is inseparable from many partners in today’s business management. e entire business supply chain is an object that enterprises need to pay special at- tention to in supply chain management. Knowing the resources, information, and data of suppliers and cus- tomers in a timely and accurate manner and extracting valuable information from relevant information to provide customer service is an unparalleled effective support condition for enterprises in competition. Logistics services are an indispensable part of corporate services. It is es- sential to improve the competitiveness of the organization. e development of science and technology has brought about a fundamental change in the competition of tradi- tional companies, which is no longer the traditional competition of geographical regions. Good logistics management methods can significantly reduce logistics management costs and improve the value proposition of the business. Today, economic globalization is growing faster, and the depth and breadth of commercial product Hindawi Mobile Information Systems Volume 2021, Article ID 7423717, 11 pages https://doi.org/10.1155/2021/7423717

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Page 1: ERP System in the Logistics Information Management System

Research ArticleERP System in the Logistics Information Management System ofSupply Chain Enterprises

Qingping Li and Guoqiang Wu

School of Economics and Management Huainan Normal University Huainan 232001 Anhui China

Correspondence should be addressed to Guoqiang Wu wgqhnnueducn

Received 15 July 2021 Revised 4 September 2021 Accepted 11 September 2021 Published 13 October 2021

Academic Editor Sang-Bing Tsai

Copyright copy 2021 Qingping Li and Guoqiang Wu -is is an open access article distributed under the Creative CommonsAttribution License which permits unrestricted use distribution and reproduction in anymedium provided the original work isproperly cited

In the era of rapid development of information with the popularization of computers the development of science and technologyand the continuous growth of IT technology and business the enterprise resource planning (ERP) system has become a platformand guarantee for the completion of business management processes after long-term operations Establishing a logisticsmanagement information system is an important means for Chinese companies to improve their logistics efficiency -is is theprerequisite for modern companies to gain a competitive advantage in the management of logistics companies -ereforeorganizations must adapt to different needs fierce competition and rapid strategic changes -is is a powerful supplement to thenature of logistics companies -e logistics management information system has continuously experienced the processes of MRPMRP II and ERP -is article aims to study how to use computers in logistics management to create an ERP system-basedenterprise logistics information management system -is article puts forward the development significance of logistics in-formation management system uses ERP system to analyze complex logistics business in detail and designs the overallframework specific functions and data model of the system in detail -e experimental results of this paper show that the ERPsystem has important application value in the logistics information management system of supply chain enterprises and it caneffectively increase the value of customer satisfaction by 867

1 Introduction

With the rapid development of human society peoplersquossocial work isolation has improved and the relationshipbetween enterprises has become closer In order to providemore transportation and higher data management forcooperation between enterprises especially with the rapiddevelopment of the industry logistics information man-agement based on information automation network andintelligent information is the most important feature ofmodern logistics information management With thecontinuous development of logistics enterprises thecompanyrsquos logistics information management has alsodeveloped day by day and related operators have becomemore and more important At the same time modernbusiness development is inseparable frommany partners intodayrsquos business management -e entire business supply

chain is an object that enterprises need to pay special at-tention to in supply chain management Knowing theresources information and data of suppliers and cus-tomers in a timely and accurate manner and extractingvaluable information from relevant information to providecustomer service is an unparalleled effective supportcondition for enterprises in competition Logistics servicesare an indispensable part of corporate services It is es-sential to improve the competitiveness of the organization-e development of science and technology has broughtabout a fundamental change in the competition of tradi-tional companies which is no longer the traditionalcompetition of geographical regions Good logisticsmanagement methods can significantly reduce logisticsmanagement costs and improve the value proposition ofthe business Today economic globalization is growingfaster and the depth and breadth of commercial product

HindawiMobile Information SystemsVolume 2021 Article ID 7423717 11 pageshttpsdoiorg10115520217423717

development are also increasing -is puts forward newrequirements for organizational development requiringorganizations to meet their needs At the same time en-terprises need to continuously improve improve com-petitiveness improve logistics management methods andimprove logistics management levels [1]

By studying the current status existing problems andactual needs of the current logistics management system wedesign a management information system for logisticsmanagement It helps to accelerate the automation of lo-gistics management and the rapid development of computerapplications leads to the development of business man-agement Increasing social competition and widespread useof information force companies to adapt to social trends andrequire management automation to improve the competi-tiveness of industry organizations With the development ofChinarsquos logistics industry and the development of traditionalself-recording methods that the company cannot cover thisis also conducive to improving the efficiency of logisticsmanagement business processing -e companyrsquos businessneeds are increasing and customers want speed and themost accurate service It has also become a standard forcustomers to evaluate companies so how to improvebusiness processing efficiency and management has becomea key issue hindering the development of manufacturingcompanies -e system can help organizations build acomprehensive logistics system which plays an importantrole in improving employee productivity and managinglogistics automation

Jagoda and Samaranayake put forward the conceptualframework of ERP system implementation by combining thestate gate method with the preimplementation roadmap It isfound that an alternative integrated method based on thephase gate method is proposed to implement the enterpriseresource planning (ERP) system which will enhance theeffectiveness of the ERP project [2] However it is far fromenough to build a conceptual framework -e theory andpractice should also be combined At present choosing theright enterprise resource planning (ERP) system is the mainchallenge facing business managers Jafarnejad A proposes acombined multicriteria decision (MCDM) method [3]which will determine the most important use of Shannonentropy technology for ERP selection standard-rough thismethod the previous research results can be integrated andthe judgment of industry experts or organizational managerscan also be integrated to select the appropriate ERP system[4] However this method only discusses the choice of ERPsystem and does not have an in-depth understanding of howthe ERP system is applied Many researchers have studiedvarious key success factors and different reasons for thefailure of ERP implementation projects Although there aredetailed literature forecasts the purpose of this research byAleksander is to develop and evaluate the main humanfactor (PHF) model and confirm the significant impact ofPHF on the success of traditional CSF and projects [5]However the development of the main human criticalsuccess factor model for the implementation of the ERPsystem is by no means simple and the feasibility of the studyis not high

-e innovation of this article is as follows (1) Due to thedrawbacks of the traditional logistics information systemand ERP system the logistics function of the ERP system hasbeen strengthened so that the logistics information man-agement system based on ERP not only has strong logisticsprocessing capabilities but also maintains the ERP systemOther information processing capabilities are as follows (2)-e development and implementation of an ERP-basedlogistics information management system not only reducesthe operating costs of the logistics business system but alsoreduces logistics costs

2 Research Method of ERP System in SupplyChain Enterprise Logistics InformationManagement System

21 ERP System Enterprise resource planning is a combi-nation of modern advanced information technology andsystematic management concepts based on supply chain-oriented management ideas (integrating relevant parts andtheir various links into its operations) [6ndash8] By closelyintegrating business and construction processes with thesupply and demand system plan design and control thecompanyrsquos logistics capital flow work flow and value-added flow etc and rationally arrange the organizationrsquosproduction supply and marketing activities so that theorganization can use all resources in a timely manner It is anintegrated information management system and manage-ment platform that supports the organizationrsquos decision-making production and operation [9]

211 e Definition and Development of ERP In the early1990s Gartner Group Inc a well-known American com-puter technology consulting and evaluation team based onthe development of computer data processing technologyand the needs of enterprise supply chain management at thetime predicted this trend [10 11] In the information agethe development of production management informationsystems and the upcoming changes make it possible for theconcept of ERP and the planning of business resources

ERP is a complete system that can collect all internalresources of the organization and execute effective planningand control to achieve maximum benefits [12] Its goal is toimprove information logistics capital flow value flow andbusiness flow by using programming and control as abenchmark and using network and information technologyas a platform to integrate marketing sales and customersand improve customer satisfaction [13] Functions such asmarket planning production financing quality servicedata integration and business process reengineering (BPR)are combined to solve the concepts and methods of supplychain management (SCM) [14]

It can be divided into three levels management ideassoftware products and management systems [12]

(1) -e standard business management system proposedby Garter Group Inc is developed based on MRPII(Manufacturing Resource Planning) -is is a managementconcept that supports the supply chain (2) With integrating

2 Mobile Information Systems

clientserver systems relational database structure object-oriented technology graphical user interface fourth-gen-eration language (4GL) network communication softwareproducts another success in the information industry isbased on the idea of ERPmanagement [2 15] (3) A businessresource management system combines corporate man-agement concepts business processes basic informationhuman resources and materials computer hardware andsoftware -e internal and external resources of the enter-prise organization are managed and optimally configuredthrough the network -e conceptual hierarchy of a newgeneration of management information system [16] ERPthat manages information at the enterprise level can beshown in Figure 1

-e development of ERP has gone through four maindevelopment stages [5 17]

-e first step MRP (Material Requirements Design)was created in the 1960s and is mainly used for pro-curement management and inventory control Its mainfunction is to use BOM inventory information andmain production plan to calculate materialrequirements-e second stage Closed-loop MRP was created basedon MRP in the 1970s It combines original capacityplanning capacity demand planning production andprocurement creating feedback and creating a closedloop-e third stage MRPII-e fourth stage ERP (Enterprise Resource Planning)was born in the early 1990s On the basis of MRPIIfunctions such as distribution management humanresource management logistics management qualitymanagement and decision support systems wereadded Everything is an extension from supplier tocustomer ERP uses advanced information technologysuch as network technology Internet graphical in-terface fourth-generation computer language rela-tional database distributed database processing andopen clientserver system As a result the integrationcapabilities are enhanced and the organizationrsquos globaloperations can be supported

212 Superiority of ERP System ERP system will bringdirect and indirect benefits to enterprises the following areits advantages [18 19]

(1) Business integration At this time it is the mostadvantageous point of all the advantages because theERP system can realize the promotion of groupbusiness

(2) It is highly adaptable -is is the second importantadvantage of the ERP system -e ERP system canhandle different currencies and accounting stan-dards as a whole and at the same time carry out theexecution of different functions and assign them todifferent departments for implementation -isadaptability is the basic prerequisite for adapting to

the general trend of the organization and main-taining the unity of the system

(3) Better analysis and planning capabilities ERP sys-tems can make full use of various decision supportsystems and decision simulation functions to com-prehensively use relevant business data in real timeso that decision makers have strong support canensure the correctness of decisions and make de-cisions-e correct strategy leads the development ofthe enterprise

(4) Ability to apply the latest and most advancedtechnology In order to benefit from the new de-velopment of technology ERP suppliers mustquickly adjust their ERP systems because ERPsystems can adapt to todayrsquos fast-developing tech-nology and gain in the information age Operationenables companies to better adapt to the ever-changing business environment

22 BS Architecture and CS Architecture My countryrsquossoftware development industry has gone from the initialworkshop slash-and-burn development to the currentiterative development method of prototypes using ad-vanced UML development concepts During this periodmany detours have been taken and many advancedconcepts have been introduced from abroad [20] Aftergetting rid of the initial low-efficiency standalone oper-ation mode software development has gradually devel-oped toward network interconnection From local areanetworks to metropolitan area networks to the Internetthe impact of software on our lives and the promotion ofproductivity have become more and more significantAmong them the more representative software developedwith CS architecture model are QQ Fox-mail antivirussoftware input method mobile phone APP etc while theapplication system built using BS architecture includese-mail system personnel management system CMSsystem etc [21 22]

221 e Difference between BS and CS Architecture(1) Difference in hardware environment

-e CS architecture uses special software to beplaced on the client side and the server side -e

ERPmanagement

system

ERPsoftwareproducts

ERP management thought

Figure 1 -e conceptual hierarchy of ERP

Mobile Information Systems 3

operation of the special software takes up a lot ofserver resources and requires more server hardware[23] Its professional application software requiresno small server data occupancy space servermemory resources and controller clock resources-e BS architecture uses the browser-side softwareand Web-logic middleware software that mostpeople have and uses the HTTP network inter-working protocol which has less restrictions onhardware and is suitable for large-scale crowd use[24]

(2) Difference in safety requirements-e CS architecture is mainly used in small-scaleenterprises and institutions with high security re-quirements It has relatively high security require-ments for data transmission security terminal accessserver authentication and user-side filling-in in-formation security -e BS architecture is mainlyoriented to a wider range of user groups Althoughencrypted transmission can be carried out throughHTTPS protocol and other methods it has lowerrequirements for security and higher requirementsfor user experience and ease of use [25]

(3) Difference in system operation and maintenance-e CS architecture is more complicated for thesystem operation and maintenance level Since itsarchitecture is inseparable as a whole it is necessaryto update the other end correspondingly to achievethe interconnection of data transmission on bothsides when upgrading and updating on the serverside or the client side -e system operation andmaintenance work of this information system ar-chitecture is relatively complicated and the systemoperation and maintenance cost will be relativelyhigher -e coupling of the BS architecture is veryloose -e server end is upgraded and the client enddoes not need to be upgraded -e B end of the BSarchitecture can use the userrsquos browser to competeand the B end of the BS architecture can be inmultiple -e system uses a browser to access theoperation and maintenance cost of this architectureis not high and the operation and maintenance willbe enhanced day by day [26]

(4) Differences in interface modes-e access mode of the CS architecture is based onthe Internet protocol suite and some special ap-plication business requirements are built on thenetwork layer or data link layer -e applicationsystem server will select the most suitable develop-ment language protocol according to a variety ofsituations and the meaning of each byte of data isclearly regulated -e interface protocol of the BSarchitecture basically uses the HTTP protocol andthe interface method uses the Web-Service interface-e specifications of its data packets have beenclearly stipulated by the international ISO

organization and the relevant protocols need to beidentified during the research and developmentprocess

(5) Differences in database connection methods-e client side of the CS architecture requires rel-atively short data flow display and storage time -ecommunication between the client side and theserver side is very frequent so the CS architectureserver and the client are always connected As long asthere is a data request demand it can be respondedto immediately although this will consume a lot ofdatabase resources but because the architecturegenerally has a relatively small number of terminalsand high real-time performance of the businessmost of them adopt this method For example atypical case of CS architecture often linking is thebanking system business

222 Advantages of BS and CS ArchitectureAdvantages of BS architecture (1) Wide range of applica-tions OS systems with browsers such as Chrome and Firefoxcan access the server-side application part according toestablished specifications and the server-side application partcan also provide on-demand services anytime anywhere (2)Low operation and maintenance costs -e architectureserver-side maintenance or function update client does notneed to cooperate so that what you see is what you get issynchronized (3) Low RampD cost and high efficiency -eTCPIP protocol suite of the Internet contains many sub-protocols and the use of these protocols is the basic of BSarchitecture communication [27]

Advantages of CS architecture (1) -ere is fast re-sponse speed (2) Strong transaction processing capabil-ities Application system development with targeted anddedicated personnel is the main advantage of the CS ar-chitecture which can be customized very personally forusers (3) -e interface is highly friendly and can meet theunique needs of users -e client software is developedcompletely according to user needs (4) High security Forclient-side management and control the client side can beaccompanied by a security scanning function and a ded-icated transmission protocol is used in the transmissionprocess -e transmission protocol can use either an in-ternationally accepted encryption protocol or an encryp-tion method set by yourself to ensure the security of thetransmitted data Since the server side of the CS archi-tecture is developed by enterprises and institutions in-formation leakage caused by backdoors of foreign servicesoftware can be basically eliminated (5) High data scal-ability Most of the CS architecture systems use largedatabases such as Oracle and DB2 -is kind of databasehas strong data scalability in terms of subdatabase queryand analysis of massive data (6) Massive computing powerMost of the work that consumes server-side system re-sources such as data calculation and information pro-cessing can be placed on the client side [28]

4 Mobile Information Systems

23 Multiple Linear Regression

231 General Form Multiple regression analysis is one ofthe methods to quantitatively predict the development andchange of things based on social economic phenomenaQuantitatively analyze the reasons for growth and themotivation of things obtain the quantitative relationshipbetween the variables of things and then predict theirgrowth and motivation [29] Suppose that the predictedobject is w and the factor that affects the predicted object isxi where i 1 2 3 is the number of influencing factorsxi are independent of each other and you should not choosetoo many factors that affect w otherwise there will beproblems such as multilinearity and heteroscedasticitywhich will affect the accuracy of the prediction results Inorder to avoid the collinearity problem in the predictionprocess in advance the correlation coefficient L can be usedto detect the correlation of the independence

L 1113936

nij1inej xi minus x( 1113857 xj minus x1113872 1113873

1113936ni1inej xi minus x( 1113857

21113936

nj1jnei xj minus x1113872 1113873

21113969 (1)

Among them xi is the selected predictor the averagevalue is x 1113936

ni1 xin and the general correlation coefficient

Llt 03 considers that there is no correlation between thepredictors that is the predictors are independent of eachother

After the correct selection of influencing factors weassume that there is a linear correlation between the pre-dictor and the predicted object that isw f(x1 x2 x3 xk) is a linear function and themultiple regression model is established as

wi β0 + β1xi1 + β2xi2 + middot middot middot + βkxik + εi (2)

Among them β1 β2 βk is called regression coeffi-cient β0 is a constant term both can be called regressionparameters and εi is residual error -e regression coeffi-cient reflects the degree of influence on the predicted objectwhen the predictive factor x1 x2 x3 xk changes

When given n observations of (w x1 x2 xk) amultiple linear regression prediction model is obtained

wi

and β0and

+ β1and

xi1 + β2and

xi2 + middot middot middot + βk

andxik + εi

(3)

Among them xi1 xi2 xik is the i observation value

β0and

β1and

β2and

βk

andis the regression estimation parameter

and εi is the i observation residual item denoted as follows

X

1 x11 middot middot middot x1k

1 x21 middot middot middot x2k

middot middot middot middot middot middot middot middot middot middot middot middot

1 xn1 middot middot middot xnk

⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎣

⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦

1113954β

β0β1middot middot middot

βk

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

ε

ε1ε2middot middot middot

εn

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

(4)

-en the multiple linear regression model can be writtenin matrix form

W X1113954β + ε (5)

232 Least Squares Estimation Method -e least squaresestimation takes the minimum sum of squared errors as thecondition of the accuracy of the linear regression model thatis for a given linear regression model W X1113954β + ε thevariance σ2 of the random error εi is the smallest that is theinfluencing factors other than the considered predictivefactor are minimal recorded as

1113954ε W minus X1113954β (6)

It is the residual vector of the prediction model then theresidual sum of squares is

S2E 1113944

n

i11113954ε2 (7)

and then

S2E 1113954εprime1113954ε (W minus X1113954β)prime(W minus X1113954β) WprimeW

minus 1113954βprimeXprimeW minus WprimeX1113954β + 1113954βprimeXprimeX1113954β(8)

and among them

1113954βprimeXprimeW 1113954βprimeXprimeW1113872 1113873prime WprimeX1113954β (9)

Regarding the residual 1113954ε as a function of 1113954β due to thenonnegativity of the residual it can be seen that there is 1113954β sothat z1113954εprime1113954εzβ 0 then there is

z1113954εprime1113954εzβ

minus2XprimeX1113954β + 2XprimeX1113954β (10)

Let FgtFα(k n minus k minus 1) available

XprimeX1113954β XprimeW (11)

From the assumption of the rank of the matrix X it canbe seen that XprimeX is invertible that is there is (XprimeX)minus1 andthen

1113954β XprimeX( 1113857minus1

XprimeW (12)

1113954β is the least square estimate of parameter β and it is easy toprove that 1113954β is an unbiased estimate of β

233 Coefficient Test of Regression Model -e significanceof the regression model coefficient β is verified by the test ofthe statistic d and the statistic d bjS(bj) is tested Amongthem

S bj1113872 1113873 aij

1113968S (13)

It is the sample standard deviation aij is (XprimeX)minus1 andthe main diagonal element S is the standard error

Mobile Information Systems 5

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 2: ERP System in the Logistics Information Management System

development are also increasing -is puts forward newrequirements for organizational development requiringorganizations to meet their needs At the same time en-terprises need to continuously improve improve com-petitiveness improve logistics management methods andimprove logistics management levels [1]

By studying the current status existing problems andactual needs of the current logistics management system wedesign a management information system for logisticsmanagement It helps to accelerate the automation of lo-gistics management and the rapid development of computerapplications leads to the development of business man-agement Increasing social competition and widespread useof information force companies to adapt to social trends andrequire management automation to improve the competi-tiveness of industry organizations With the development ofChinarsquos logistics industry and the development of traditionalself-recording methods that the company cannot cover thisis also conducive to improving the efficiency of logisticsmanagement business processing -e companyrsquos businessneeds are increasing and customers want speed and themost accurate service It has also become a standard forcustomers to evaluate companies so how to improvebusiness processing efficiency and management has becomea key issue hindering the development of manufacturingcompanies -e system can help organizations build acomprehensive logistics system which plays an importantrole in improving employee productivity and managinglogistics automation

Jagoda and Samaranayake put forward the conceptualframework of ERP system implementation by combining thestate gate method with the preimplementation roadmap It isfound that an alternative integrated method based on thephase gate method is proposed to implement the enterpriseresource planning (ERP) system which will enhance theeffectiveness of the ERP project [2] However it is far fromenough to build a conceptual framework -e theory andpractice should also be combined At present choosing theright enterprise resource planning (ERP) system is the mainchallenge facing business managers Jafarnejad A proposes acombined multicriteria decision (MCDM) method [3]which will determine the most important use of Shannonentropy technology for ERP selection standard-rough thismethod the previous research results can be integrated andthe judgment of industry experts or organizational managerscan also be integrated to select the appropriate ERP system[4] However this method only discusses the choice of ERPsystem and does not have an in-depth understanding of howthe ERP system is applied Many researchers have studiedvarious key success factors and different reasons for thefailure of ERP implementation projects Although there aredetailed literature forecasts the purpose of this research byAleksander is to develop and evaluate the main humanfactor (PHF) model and confirm the significant impact ofPHF on the success of traditional CSF and projects [5]However the development of the main human criticalsuccess factor model for the implementation of the ERPsystem is by no means simple and the feasibility of the studyis not high

-e innovation of this article is as follows (1) Due to thedrawbacks of the traditional logistics information systemand ERP system the logistics function of the ERP system hasbeen strengthened so that the logistics information man-agement system based on ERP not only has strong logisticsprocessing capabilities but also maintains the ERP systemOther information processing capabilities are as follows (2)-e development and implementation of an ERP-basedlogistics information management system not only reducesthe operating costs of the logistics business system but alsoreduces logistics costs

2 Research Method of ERP System in SupplyChain Enterprise Logistics InformationManagement System

21 ERP System Enterprise resource planning is a combi-nation of modern advanced information technology andsystematic management concepts based on supply chain-oriented management ideas (integrating relevant parts andtheir various links into its operations) [6ndash8] By closelyintegrating business and construction processes with thesupply and demand system plan design and control thecompanyrsquos logistics capital flow work flow and value-added flow etc and rationally arrange the organizationrsquosproduction supply and marketing activities so that theorganization can use all resources in a timely manner It is anintegrated information management system and manage-ment platform that supports the organizationrsquos decision-making production and operation [9]

211 e Definition and Development of ERP In the early1990s Gartner Group Inc a well-known American com-puter technology consulting and evaluation team based onthe development of computer data processing technologyand the needs of enterprise supply chain management at thetime predicted this trend [10 11] In the information agethe development of production management informationsystems and the upcoming changes make it possible for theconcept of ERP and the planning of business resources

ERP is a complete system that can collect all internalresources of the organization and execute effective planningand control to achieve maximum benefits [12] Its goal is toimprove information logistics capital flow value flow andbusiness flow by using programming and control as abenchmark and using network and information technologyas a platform to integrate marketing sales and customersand improve customer satisfaction [13] Functions such asmarket planning production financing quality servicedata integration and business process reengineering (BPR)are combined to solve the concepts and methods of supplychain management (SCM) [14]

It can be divided into three levels management ideassoftware products and management systems [12]

(1) -e standard business management system proposedby Garter Group Inc is developed based on MRPII(Manufacturing Resource Planning) -is is a managementconcept that supports the supply chain (2) With integrating

2 Mobile Information Systems

clientserver systems relational database structure object-oriented technology graphical user interface fourth-gen-eration language (4GL) network communication softwareproducts another success in the information industry isbased on the idea of ERPmanagement [2 15] (3) A businessresource management system combines corporate man-agement concepts business processes basic informationhuman resources and materials computer hardware andsoftware -e internal and external resources of the enter-prise organization are managed and optimally configuredthrough the network -e conceptual hierarchy of a newgeneration of management information system [16] ERPthat manages information at the enterprise level can beshown in Figure 1

-e development of ERP has gone through four maindevelopment stages [5 17]

-e first step MRP (Material Requirements Design)was created in the 1960s and is mainly used for pro-curement management and inventory control Its mainfunction is to use BOM inventory information andmain production plan to calculate materialrequirements-e second stage Closed-loop MRP was created basedon MRP in the 1970s It combines original capacityplanning capacity demand planning production andprocurement creating feedback and creating a closedloop-e third stage MRPII-e fourth stage ERP (Enterprise Resource Planning)was born in the early 1990s On the basis of MRPIIfunctions such as distribution management humanresource management logistics management qualitymanagement and decision support systems wereadded Everything is an extension from supplier tocustomer ERP uses advanced information technologysuch as network technology Internet graphical in-terface fourth-generation computer language rela-tional database distributed database processing andopen clientserver system As a result the integrationcapabilities are enhanced and the organizationrsquos globaloperations can be supported

212 Superiority of ERP System ERP system will bringdirect and indirect benefits to enterprises the following areits advantages [18 19]

(1) Business integration At this time it is the mostadvantageous point of all the advantages because theERP system can realize the promotion of groupbusiness

(2) It is highly adaptable -is is the second importantadvantage of the ERP system -e ERP system canhandle different currencies and accounting stan-dards as a whole and at the same time carry out theexecution of different functions and assign them todifferent departments for implementation -isadaptability is the basic prerequisite for adapting to

the general trend of the organization and main-taining the unity of the system

(3) Better analysis and planning capabilities ERP sys-tems can make full use of various decision supportsystems and decision simulation functions to com-prehensively use relevant business data in real timeso that decision makers have strong support canensure the correctness of decisions and make de-cisions-e correct strategy leads the development ofthe enterprise

(4) Ability to apply the latest and most advancedtechnology In order to benefit from the new de-velopment of technology ERP suppliers mustquickly adjust their ERP systems because ERPsystems can adapt to todayrsquos fast-developing tech-nology and gain in the information age Operationenables companies to better adapt to the ever-changing business environment

22 BS Architecture and CS Architecture My countryrsquossoftware development industry has gone from the initialworkshop slash-and-burn development to the currentiterative development method of prototypes using ad-vanced UML development concepts During this periodmany detours have been taken and many advancedconcepts have been introduced from abroad [20] Aftergetting rid of the initial low-efficiency standalone oper-ation mode software development has gradually devel-oped toward network interconnection From local areanetworks to metropolitan area networks to the Internetthe impact of software on our lives and the promotion ofproductivity have become more and more significantAmong them the more representative software developedwith CS architecture model are QQ Fox-mail antivirussoftware input method mobile phone APP etc while theapplication system built using BS architecture includese-mail system personnel management system CMSsystem etc [21 22]

221 e Difference between BS and CS Architecture(1) Difference in hardware environment

-e CS architecture uses special software to beplaced on the client side and the server side -e

ERPmanagement

system

ERPsoftwareproducts

ERP management thought

Figure 1 -e conceptual hierarchy of ERP

Mobile Information Systems 3

operation of the special software takes up a lot ofserver resources and requires more server hardware[23] Its professional application software requiresno small server data occupancy space servermemory resources and controller clock resources-e BS architecture uses the browser-side softwareand Web-logic middleware software that mostpeople have and uses the HTTP network inter-working protocol which has less restrictions onhardware and is suitable for large-scale crowd use[24]

(2) Difference in safety requirements-e CS architecture is mainly used in small-scaleenterprises and institutions with high security re-quirements It has relatively high security require-ments for data transmission security terminal accessserver authentication and user-side filling-in in-formation security -e BS architecture is mainlyoriented to a wider range of user groups Althoughencrypted transmission can be carried out throughHTTPS protocol and other methods it has lowerrequirements for security and higher requirementsfor user experience and ease of use [25]

(3) Difference in system operation and maintenance-e CS architecture is more complicated for thesystem operation and maintenance level Since itsarchitecture is inseparable as a whole it is necessaryto update the other end correspondingly to achievethe interconnection of data transmission on bothsides when upgrading and updating on the serverside or the client side -e system operation andmaintenance work of this information system ar-chitecture is relatively complicated and the systemoperation and maintenance cost will be relativelyhigher -e coupling of the BS architecture is veryloose -e server end is upgraded and the client enddoes not need to be upgraded -e B end of the BSarchitecture can use the userrsquos browser to competeand the B end of the BS architecture can be inmultiple -e system uses a browser to access theoperation and maintenance cost of this architectureis not high and the operation and maintenance willbe enhanced day by day [26]

(4) Differences in interface modes-e access mode of the CS architecture is based onthe Internet protocol suite and some special ap-plication business requirements are built on thenetwork layer or data link layer -e applicationsystem server will select the most suitable develop-ment language protocol according to a variety ofsituations and the meaning of each byte of data isclearly regulated -e interface protocol of the BSarchitecture basically uses the HTTP protocol andthe interface method uses the Web-Service interface-e specifications of its data packets have beenclearly stipulated by the international ISO

organization and the relevant protocols need to beidentified during the research and developmentprocess

(5) Differences in database connection methods-e client side of the CS architecture requires rel-atively short data flow display and storage time -ecommunication between the client side and theserver side is very frequent so the CS architectureserver and the client are always connected As long asthere is a data request demand it can be respondedto immediately although this will consume a lot ofdatabase resources but because the architecturegenerally has a relatively small number of terminalsand high real-time performance of the businessmost of them adopt this method For example atypical case of CS architecture often linking is thebanking system business

222 Advantages of BS and CS ArchitectureAdvantages of BS architecture (1) Wide range of applica-tions OS systems with browsers such as Chrome and Firefoxcan access the server-side application part according toestablished specifications and the server-side application partcan also provide on-demand services anytime anywhere (2)Low operation and maintenance costs -e architectureserver-side maintenance or function update client does notneed to cooperate so that what you see is what you get issynchronized (3) Low RampD cost and high efficiency -eTCPIP protocol suite of the Internet contains many sub-protocols and the use of these protocols is the basic of BSarchitecture communication [27]

Advantages of CS architecture (1) -ere is fast re-sponse speed (2) Strong transaction processing capabil-ities Application system development with targeted anddedicated personnel is the main advantage of the CS ar-chitecture which can be customized very personally forusers (3) -e interface is highly friendly and can meet theunique needs of users -e client software is developedcompletely according to user needs (4) High security Forclient-side management and control the client side can beaccompanied by a security scanning function and a ded-icated transmission protocol is used in the transmissionprocess -e transmission protocol can use either an in-ternationally accepted encryption protocol or an encryp-tion method set by yourself to ensure the security of thetransmitted data Since the server side of the CS archi-tecture is developed by enterprises and institutions in-formation leakage caused by backdoors of foreign servicesoftware can be basically eliminated (5) High data scal-ability Most of the CS architecture systems use largedatabases such as Oracle and DB2 -is kind of databasehas strong data scalability in terms of subdatabase queryand analysis of massive data (6) Massive computing powerMost of the work that consumes server-side system re-sources such as data calculation and information pro-cessing can be placed on the client side [28]

4 Mobile Information Systems

23 Multiple Linear Regression

231 General Form Multiple regression analysis is one ofthe methods to quantitatively predict the development andchange of things based on social economic phenomenaQuantitatively analyze the reasons for growth and themotivation of things obtain the quantitative relationshipbetween the variables of things and then predict theirgrowth and motivation [29] Suppose that the predictedobject is w and the factor that affects the predicted object isxi where i 1 2 3 is the number of influencing factorsxi are independent of each other and you should not choosetoo many factors that affect w otherwise there will beproblems such as multilinearity and heteroscedasticitywhich will affect the accuracy of the prediction results Inorder to avoid the collinearity problem in the predictionprocess in advance the correlation coefficient L can be usedto detect the correlation of the independence

L 1113936

nij1inej xi minus x( 1113857 xj minus x1113872 1113873

1113936ni1inej xi minus x( 1113857

21113936

nj1jnei xj minus x1113872 1113873

21113969 (1)

Among them xi is the selected predictor the averagevalue is x 1113936

ni1 xin and the general correlation coefficient

Llt 03 considers that there is no correlation between thepredictors that is the predictors are independent of eachother

After the correct selection of influencing factors weassume that there is a linear correlation between the pre-dictor and the predicted object that isw f(x1 x2 x3 xk) is a linear function and themultiple regression model is established as

wi β0 + β1xi1 + β2xi2 + middot middot middot + βkxik + εi (2)

Among them β1 β2 βk is called regression coeffi-cient β0 is a constant term both can be called regressionparameters and εi is residual error -e regression coeffi-cient reflects the degree of influence on the predicted objectwhen the predictive factor x1 x2 x3 xk changes

When given n observations of (w x1 x2 xk) amultiple linear regression prediction model is obtained

wi

and β0and

+ β1and

xi1 + β2and

xi2 + middot middot middot + βk

andxik + εi

(3)

Among them xi1 xi2 xik is the i observation value

β0and

β1and

β2and

βk

andis the regression estimation parameter

and εi is the i observation residual item denoted as follows

X

1 x11 middot middot middot x1k

1 x21 middot middot middot x2k

middot middot middot middot middot middot middot middot middot middot middot middot

1 xn1 middot middot middot xnk

⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎣

⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦

1113954β

β0β1middot middot middot

βk

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

ε

ε1ε2middot middot middot

εn

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

(4)

-en the multiple linear regression model can be writtenin matrix form

W X1113954β + ε (5)

232 Least Squares Estimation Method -e least squaresestimation takes the minimum sum of squared errors as thecondition of the accuracy of the linear regression model thatis for a given linear regression model W X1113954β + ε thevariance σ2 of the random error εi is the smallest that is theinfluencing factors other than the considered predictivefactor are minimal recorded as

1113954ε W minus X1113954β (6)

It is the residual vector of the prediction model then theresidual sum of squares is

S2E 1113944

n

i11113954ε2 (7)

and then

S2E 1113954εprime1113954ε (W minus X1113954β)prime(W minus X1113954β) WprimeW

minus 1113954βprimeXprimeW minus WprimeX1113954β + 1113954βprimeXprimeX1113954β(8)

and among them

1113954βprimeXprimeW 1113954βprimeXprimeW1113872 1113873prime WprimeX1113954β (9)

Regarding the residual 1113954ε as a function of 1113954β due to thenonnegativity of the residual it can be seen that there is 1113954β sothat z1113954εprime1113954εzβ 0 then there is

z1113954εprime1113954εzβ

minus2XprimeX1113954β + 2XprimeX1113954β (10)

Let FgtFα(k n minus k minus 1) available

XprimeX1113954β XprimeW (11)

From the assumption of the rank of the matrix X it canbe seen that XprimeX is invertible that is there is (XprimeX)minus1 andthen

1113954β XprimeX( 1113857minus1

XprimeW (12)

1113954β is the least square estimate of parameter β and it is easy toprove that 1113954β is an unbiased estimate of β

233 Coefficient Test of Regression Model -e significanceof the regression model coefficient β is verified by the test ofthe statistic d and the statistic d bjS(bj) is tested Amongthem

S bj1113872 1113873 aij

1113968S (13)

It is the sample standard deviation aij is (XprimeX)minus1 andthe main diagonal element S is the standard error

Mobile Information Systems 5

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 3: ERP System in the Logistics Information Management System

clientserver systems relational database structure object-oriented technology graphical user interface fourth-gen-eration language (4GL) network communication softwareproducts another success in the information industry isbased on the idea of ERPmanagement [2 15] (3) A businessresource management system combines corporate man-agement concepts business processes basic informationhuman resources and materials computer hardware andsoftware -e internal and external resources of the enter-prise organization are managed and optimally configuredthrough the network -e conceptual hierarchy of a newgeneration of management information system [16] ERPthat manages information at the enterprise level can beshown in Figure 1

-e development of ERP has gone through four maindevelopment stages [5 17]

-e first step MRP (Material Requirements Design)was created in the 1960s and is mainly used for pro-curement management and inventory control Its mainfunction is to use BOM inventory information andmain production plan to calculate materialrequirements-e second stage Closed-loop MRP was created basedon MRP in the 1970s It combines original capacityplanning capacity demand planning production andprocurement creating feedback and creating a closedloop-e third stage MRPII-e fourth stage ERP (Enterprise Resource Planning)was born in the early 1990s On the basis of MRPIIfunctions such as distribution management humanresource management logistics management qualitymanagement and decision support systems wereadded Everything is an extension from supplier tocustomer ERP uses advanced information technologysuch as network technology Internet graphical in-terface fourth-generation computer language rela-tional database distributed database processing andopen clientserver system As a result the integrationcapabilities are enhanced and the organizationrsquos globaloperations can be supported

212 Superiority of ERP System ERP system will bringdirect and indirect benefits to enterprises the following areits advantages [18 19]

(1) Business integration At this time it is the mostadvantageous point of all the advantages because theERP system can realize the promotion of groupbusiness

(2) It is highly adaptable -is is the second importantadvantage of the ERP system -e ERP system canhandle different currencies and accounting stan-dards as a whole and at the same time carry out theexecution of different functions and assign them todifferent departments for implementation -isadaptability is the basic prerequisite for adapting to

the general trend of the organization and main-taining the unity of the system

(3) Better analysis and planning capabilities ERP sys-tems can make full use of various decision supportsystems and decision simulation functions to com-prehensively use relevant business data in real timeso that decision makers have strong support canensure the correctness of decisions and make de-cisions-e correct strategy leads the development ofthe enterprise

(4) Ability to apply the latest and most advancedtechnology In order to benefit from the new de-velopment of technology ERP suppliers mustquickly adjust their ERP systems because ERPsystems can adapt to todayrsquos fast-developing tech-nology and gain in the information age Operationenables companies to better adapt to the ever-changing business environment

22 BS Architecture and CS Architecture My countryrsquossoftware development industry has gone from the initialworkshop slash-and-burn development to the currentiterative development method of prototypes using ad-vanced UML development concepts During this periodmany detours have been taken and many advancedconcepts have been introduced from abroad [20] Aftergetting rid of the initial low-efficiency standalone oper-ation mode software development has gradually devel-oped toward network interconnection From local areanetworks to metropolitan area networks to the Internetthe impact of software on our lives and the promotion ofproductivity have become more and more significantAmong them the more representative software developedwith CS architecture model are QQ Fox-mail antivirussoftware input method mobile phone APP etc while theapplication system built using BS architecture includese-mail system personnel management system CMSsystem etc [21 22]

221 e Difference between BS and CS Architecture(1) Difference in hardware environment

-e CS architecture uses special software to beplaced on the client side and the server side -e

ERPmanagement

system

ERPsoftwareproducts

ERP management thought

Figure 1 -e conceptual hierarchy of ERP

Mobile Information Systems 3

operation of the special software takes up a lot ofserver resources and requires more server hardware[23] Its professional application software requiresno small server data occupancy space servermemory resources and controller clock resources-e BS architecture uses the browser-side softwareand Web-logic middleware software that mostpeople have and uses the HTTP network inter-working protocol which has less restrictions onhardware and is suitable for large-scale crowd use[24]

(2) Difference in safety requirements-e CS architecture is mainly used in small-scaleenterprises and institutions with high security re-quirements It has relatively high security require-ments for data transmission security terminal accessserver authentication and user-side filling-in in-formation security -e BS architecture is mainlyoriented to a wider range of user groups Althoughencrypted transmission can be carried out throughHTTPS protocol and other methods it has lowerrequirements for security and higher requirementsfor user experience and ease of use [25]

(3) Difference in system operation and maintenance-e CS architecture is more complicated for thesystem operation and maintenance level Since itsarchitecture is inseparable as a whole it is necessaryto update the other end correspondingly to achievethe interconnection of data transmission on bothsides when upgrading and updating on the serverside or the client side -e system operation andmaintenance work of this information system ar-chitecture is relatively complicated and the systemoperation and maintenance cost will be relativelyhigher -e coupling of the BS architecture is veryloose -e server end is upgraded and the client enddoes not need to be upgraded -e B end of the BSarchitecture can use the userrsquos browser to competeand the B end of the BS architecture can be inmultiple -e system uses a browser to access theoperation and maintenance cost of this architectureis not high and the operation and maintenance willbe enhanced day by day [26]

(4) Differences in interface modes-e access mode of the CS architecture is based onthe Internet protocol suite and some special ap-plication business requirements are built on thenetwork layer or data link layer -e applicationsystem server will select the most suitable develop-ment language protocol according to a variety ofsituations and the meaning of each byte of data isclearly regulated -e interface protocol of the BSarchitecture basically uses the HTTP protocol andthe interface method uses the Web-Service interface-e specifications of its data packets have beenclearly stipulated by the international ISO

organization and the relevant protocols need to beidentified during the research and developmentprocess

(5) Differences in database connection methods-e client side of the CS architecture requires rel-atively short data flow display and storage time -ecommunication between the client side and theserver side is very frequent so the CS architectureserver and the client are always connected As long asthere is a data request demand it can be respondedto immediately although this will consume a lot ofdatabase resources but because the architecturegenerally has a relatively small number of terminalsand high real-time performance of the businessmost of them adopt this method For example atypical case of CS architecture often linking is thebanking system business

222 Advantages of BS and CS ArchitectureAdvantages of BS architecture (1) Wide range of applica-tions OS systems with browsers such as Chrome and Firefoxcan access the server-side application part according toestablished specifications and the server-side application partcan also provide on-demand services anytime anywhere (2)Low operation and maintenance costs -e architectureserver-side maintenance or function update client does notneed to cooperate so that what you see is what you get issynchronized (3) Low RampD cost and high efficiency -eTCPIP protocol suite of the Internet contains many sub-protocols and the use of these protocols is the basic of BSarchitecture communication [27]

Advantages of CS architecture (1) -ere is fast re-sponse speed (2) Strong transaction processing capabil-ities Application system development with targeted anddedicated personnel is the main advantage of the CS ar-chitecture which can be customized very personally forusers (3) -e interface is highly friendly and can meet theunique needs of users -e client software is developedcompletely according to user needs (4) High security Forclient-side management and control the client side can beaccompanied by a security scanning function and a ded-icated transmission protocol is used in the transmissionprocess -e transmission protocol can use either an in-ternationally accepted encryption protocol or an encryp-tion method set by yourself to ensure the security of thetransmitted data Since the server side of the CS archi-tecture is developed by enterprises and institutions in-formation leakage caused by backdoors of foreign servicesoftware can be basically eliminated (5) High data scal-ability Most of the CS architecture systems use largedatabases such as Oracle and DB2 -is kind of databasehas strong data scalability in terms of subdatabase queryand analysis of massive data (6) Massive computing powerMost of the work that consumes server-side system re-sources such as data calculation and information pro-cessing can be placed on the client side [28]

4 Mobile Information Systems

23 Multiple Linear Regression

231 General Form Multiple regression analysis is one ofthe methods to quantitatively predict the development andchange of things based on social economic phenomenaQuantitatively analyze the reasons for growth and themotivation of things obtain the quantitative relationshipbetween the variables of things and then predict theirgrowth and motivation [29] Suppose that the predictedobject is w and the factor that affects the predicted object isxi where i 1 2 3 is the number of influencing factorsxi are independent of each other and you should not choosetoo many factors that affect w otherwise there will beproblems such as multilinearity and heteroscedasticitywhich will affect the accuracy of the prediction results Inorder to avoid the collinearity problem in the predictionprocess in advance the correlation coefficient L can be usedto detect the correlation of the independence

L 1113936

nij1inej xi minus x( 1113857 xj minus x1113872 1113873

1113936ni1inej xi minus x( 1113857

21113936

nj1jnei xj minus x1113872 1113873

21113969 (1)

Among them xi is the selected predictor the averagevalue is x 1113936

ni1 xin and the general correlation coefficient

Llt 03 considers that there is no correlation between thepredictors that is the predictors are independent of eachother

After the correct selection of influencing factors weassume that there is a linear correlation between the pre-dictor and the predicted object that isw f(x1 x2 x3 xk) is a linear function and themultiple regression model is established as

wi β0 + β1xi1 + β2xi2 + middot middot middot + βkxik + εi (2)

Among them β1 β2 βk is called regression coeffi-cient β0 is a constant term both can be called regressionparameters and εi is residual error -e regression coeffi-cient reflects the degree of influence on the predicted objectwhen the predictive factor x1 x2 x3 xk changes

When given n observations of (w x1 x2 xk) amultiple linear regression prediction model is obtained

wi

and β0and

+ β1and

xi1 + β2and

xi2 + middot middot middot + βk

andxik + εi

(3)

Among them xi1 xi2 xik is the i observation value

β0and

β1and

β2and

βk

andis the regression estimation parameter

and εi is the i observation residual item denoted as follows

X

1 x11 middot middot middot x1k

1 x21 middot middot middot x2k

middot middot middot middot middot middot middot middot middot middot middot middot

1 xn1 middot middot middot xnk

⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎣

⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦

1113954β

β0β1middot middot middot

βk

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

ε

ε1ε2middot middot middot

εn

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

(4)

-en the multiple linear regression model can be writtenin matrix form

W X1113954β + ε (5)

232 Least Squares Estimation Method -e least squaresestimation takes the minimum sum of squared errors as thecondition of the accuracy of the linear regression model thatis for a given linear regression model W X1113954β + ε thevariance σ2 of the random error εi is the smallest that is theinfluencing factors other than the considered predictivefactor are minimal recorded as

1113954ε W minus X1113954β (6)

It is the residual vector of the prediction model then theresidual sum of squares is

S2E 1113944

n

i11113954ε2 (7)

and then

S2E 1113954εprime1113954ε (W minus X1113954β)prime(W minus X1113954β) WprimeW

minus 1113954βprimeXprimeW minus WprimeX1113954β + 1113954βprimeXprimeX1113954β(8)

and among them

1113954βprimeXprimeW 1113954βprimeXprimeW1113872 1113873prime WprimeX1113954β (9)

Regarding the residual 1113954ε as a function of 1113954β due to thenonnegativity of the residual it can be seen that there is 1113954β sothat z1113954εprime1113954εzβ 0 then there is

z1113954εprime1113954εzβ

minus2XprimeX1113954β + 2XprimeX1113954β (10)

Let FgtFα(k n minus k minus 1) available

XprimeX1113954β XprimeW (11)

From the assumption of the rank of the matrix X it canbe seen that XprimeX is invertible that is there is (XprimeX)minus1 andthen

1113954β XprimeX( 1113857minus1

XprimeW (12)

1113954β is the least square estimate of parameter β and it is easy toprove that 1113954β is an unbiased estimate of β

233 Coefficient Test of Regression Model -e significanceof the regression model coefficient β is verified by the test ofthe statistic d and the statistic d bjS(bj) is tested Amongthem

S bj1113872 1113873 aij

1113968S (13)

It is the sample standard deviation aij is (XprimeX)minus1 andthe main diagonal element S is the standard error

Mobile Information Systems 5

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 4: ERP System in the Logistics Information Management System

operation of the special software takes up a lot ofserver resources and requires more server hardware[23] Its professional application software requiresno small server data occupancy space servermemory resources and controller clock resources-e BS architecture uses the browser-side softwareand Web-logic middleware software that mostpeople have and uses the HTTP network inter-working protocol which has less restrictions onhardware and is suitable for large-scale crowd use[24]

(2) Difference in safety requirements-e CS architecture is mainly used in small-scaleenterprises and institutions with high security re-quirements It has relatively high security require-ments for data transmission security terminal accessserver authentication and user-side filling-in in-formation security -e BS architecture is mainlyoriented to a wider range of user groups Althoughencrypted transmission can be carried out throughHTTPS protocol and other methods it has lowerrequirements for security and higher requirementsfor user experience and ease of use [25]

(3) Difference in system operation and maintenance-e CS architecture is more complicated for thesystem operation and maintenance level Since itsarchitecture is inseparable as a whole it is necessaryto update the other end correspondingly to achievethe interconnection of data transmission on bothsides when upgrading and updating on the serverside or the client side -e system operation andmaintenance work of this information system ar-chitecture is relatively complicated and the systemoperation and maintenance cost will be relativelyhigher -e coupling of the BS architecture is veryloose -e server end is upgraded and the client enddoes not need to be upgraded -e B end of the BSarchitecture can use the userrsquos browser to competeand the B end of the BS architecture can be inmultiple -e system uses a browser to access theoperation and maintenance cost of this architectureis not high and the operation and maintenance willbe enhanced day by day [26]

(4) Differences in interface modes-e access mode of the CS architecture is based onthe Internet protocol suite and some special ap-plication business requirements are built on thenetwork layer or data link layer -e applicationsystem server will select the most suitable develop-ment language protocol according to a variety ofsituations and the meaning of each byte of data isclearly regulated -e interface protocol of the BSarchitecture basically uses the HTTP protocol andthe interface method uses the Web-Service interface-e specifications of its data packets have beenclearly stipulated by the international ISO

organization and the relevant protocols need to beidentified during the research and developmentprocess

(5) Differences in database connection methods-e client side of the CS architecture requires rel-atively short data flow display and storage time -ecommunication between the client side and theserver side is very frequent so the CS architectureserver and the client are always connected As long asthere is a data request demand it can be respondedto immediately although this will consume a lot ofdatabase resources but because the architecturegenerally has a relatively small number of terminalsand high real-time performance of the businessmost of them adopt this method For example atypical case of CS architecture often linking is thebanking system business

222 Advantages of BS and CS ArchitectureAdvantages of BS architecture (1) Wide range of applica-tions OS systems with browsers such as Chrome and Firefoxcan access the server-side application part according toestablished specifications and the server-side application partcan also provide on-demand services anytime anywhere (2)Low operation and maintenance costs -e architectureserver-side maintenance or function update client does notneed to cooperate so that what you see is what you get issynchronized (3) Low RampD cost and high efficiency -eTCPIP protocol suite of the Internet contains many sub-protocols and the use of these protocols is the basic of BSarchitecture communication [27]

Advantages of CS architecture (1) -ere is fast re-sponse speed (2) Strong transaction processing capabil-ities Application system development with targeted anddedicated personnel is the main advantage of the CS ar-chitecture which can be customized very personally forusers (3) -e interface is highly friendly and can meet theunique needs of users -e client software is developedcompletely according to user needs (4) High security Forclient-side management and control the client side can beaccompanied by a security scanning function and a ded-icated transmission protocol is used in the transmissionprocess -e transmission protocol can use either an in-ternationally accepted encryption protocol or an encryp-tion method set by yourself to ensure the security of thetransmitted data Since the server side of the CS archi-tecture is developed by enterprises and institutions in-formation leakage caused by backdoors of foreign servicesoftware can be basically eliminated (5) High data scal-ability Most of the CS architecture systems use largedatabases such as Oracle and DB2 -is kind of databasehas strong data scalability in terms of subdatabase queryand analysis of massive data (6) Massive computing powerMost of the work that consumes server-side system re-sources such as data calculation and information pro-cessing can be placed on the client side [28]

4 Mobile Information Systems

23 Multiple Linear Regression

231 General Form Multiple regression analysis is one ofthe methods to quantitatively predict the development andchange of things based on social economic phenomenaQuantitatively analyze the reasons for growth and themotivation of things obtain the quantitative relationshipbetween the variables of things and then predict theirgrowth and motivation [29] Suppose that the predictedobject is w and the factor that affects the predicted object isxi where i 1 2 3 is the number of influencing factorsxi are independent of each other and you should not choosetoo many factors that affect w otherwise there will beproblems such as multilinearity and heteroscedasticitywhich will affect the accuracy of the prediction results Inorder to avoid the collinearity problem in the predictionprocess in advance the correlation coefficient L can be usedto detect the correlation of the independence

L 1113936

nij1inej xi minus x( 1113857 xj minus x1113872 1113873

1113936ni1inej xi minus x( 1113857

21113936

nj1jnei xj minus x1113872 1113873

21113969 (1)

Among them xi is the selected predictor the averagevalue is x 1113936

ni1 xin and the general correlation coefficient

Llt 03 considers that there is no correlation between thepredictors that is the predictors are independent of eachother

After the correct selection of influencing factors weassume that there is a linear correlation between the pre-dictor and the predicted object that isw f(x1 x2 x3 xk) is a linear function and themultiple regression model is established as

wi β0 + β1xi1 + β2xi2 + middot middot middot + βkxik + εi (2)

Among them β1 β2 βk is called regression coeffi-cient β0 is a constant term both can be called regressionparameters and εi is residual error -e regression coeffi-cient reflects the degree of influence on the predicted objectwhen the predictive factor x1 x2 x3 xk changes

When given n observations of (w x1 x2 xk) amultiple linear regression prediction model is obtained

wi

and β0and

+ β1and

xi1 + β2and

xi2 + middot middot middot + βk

andxik + εi

(3)

Among them xi1 xi2 xik is the i observation value

β0and

β1and

β2and

βk

andis the regression estimation parameter

and εi is the i observation residual item denoted as follows

X

1 x11 middot middot middot x1k

1 x21 middot middot middot x2k

middot middot middot middot middot middot middot middot middot middot middot middot

1 xn1 middot middot middot xnk

⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎣

⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦

1113954β

β0β1middot middot middot

βk

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

ε

ε1ε2middot middot middot

εn

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

(4)

-en the multiple linear regression model can be writtenin matrix form

W X1113954β + ε (5)

232 Least Squares Estimation Method -e least squaresestimation takes the minimum sum of squared errors as thecondition of the accuracy of the linear regression model thatis for a given linear regression model W X1113954β + ε thevariance σ2 of the random error εi is the smallest that is theinfluencing factors other than the considered predictivefactor are minimal recorded as

1113954ε W minus X1113954β (6)

It is the residual vector of the prediction model then theresidual sum of squares is

S2E 1113944

n

i11113954ε2 (7)

and then

S2E 1113954εprime1113954ε (W minus X1113954β)prime(W minus X1113954β) WprimeW

minus 1113954βprimeXprimeW minus WprimeX1113954β + 1113954βprimeXprimeX1113954β(8)

and among them

1113954βprimeXprimeW 1113954βprimeXprimeW1113872 1113873prime WprimeX1113954β (9)

Regarding the residual 1113954ε as a function of 1113954β due to thenonnegativity of the residual it can be seen that there is 1113954β sothat z1113954εprime1113954εzβ 0 then there is

z1113954εprime1113954εzβ

minus2XprimeX1113954β + 2XprimeX1113954β (10)

Let FgtFα(k n minus k minus 1) available

XprimeX1113954β XprimeW (11)

From the assumption of the rank of the matrix X it canbe seen that XprimeX is invertible that is there is (XprimeX)minus1 andthen

1113954β XprimeX( 1113857minus1

XprimeW (12)

1113954β is the least square estimate of parameter β and it is easy toprove that 1113954β is an unbiased estimate of β

233 Coefficient Test of Regression Model -e significanceof the regression model coefficient β is verified by the test ofthe statistic d and the statistic d bjS(bj) is tested Amongthem

S bj1113872 1113873 aij

1113968S (13)

It is the sample standard deviation aij is (XprimeX)minus1 andthe main diagonal element S is the standard error

Mobile Information Systems 5

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 5: ERP System in the Logistics Information Management System

23 Multiple Linear Regression

231 General Form Multiple regression analysis is one ofthe methods to quantitatively predict the development andchange of things based on social economic phenomenaQuantitatively analyze the reasons for growth and themotivation of things obtain the quantitative relationshipbetween the variables of things and then predict theirgrowth and motivation [29] Suppose that the predictedobject is w and the factor that affects the predicted object isxi where i 1 2 3 is the number of influencing factorsxi are independent of each other and you should not choosetoo many factors that affect w otherwise there will beproblems such as multilinearity and heteroscedasticitywhich will affect the accuracy of the prediction results Inorder to avoid the collinearity problem in the predictionprocess in advance the correlation coefficient L can be usedto detect the correlation of the independence

L 1113936

nij1inej xi minus x( 1113857 xj minus x1113872 1113873

1113936ni1inej xi minus x( 1113857

21113936

nj1jnei xj minus x1113872 1113873

21113969 (1)

Among them xi is the selected predictor the averagevalue is x 1113936

ni1 xin and the general correlation coefficient

Llt 03 considers that there is no correlation between thepredictors that is the predictors are independent of eachother

After the correct selection of influencing factors weassume that there is a linear correlation between the pre-dictor and the predicted object that isw f(x1 x2 x3 xk) is a linear function and themultiple regression model is established as

wi β0 + β1xi1 + β2xi2 + middot middot middot + βkxik + εi (2)

Among them β1 β2 βk is called regression coeffi-cient β0 is a constant term both can be called regressionparameters and εi is residual error -e regression coeffi-cient reflects the degree of influence on the predicted objectwhen the predictive factor x1 x2 x3 xk changes

When given n observations of (w x1 x2 xk) amultiple linear regression prediction model is obtained

wi

and β0and

+ β1and

xi1 + β2and

xi2 + middot middot middot + βk

andxik + εi

(3)

Among them xi1 xi2 xik is the i observation value

β0and

β1and

β2and

βk

andis the regression estimation parameter

and εi is the i observation residual item denoted as follows

X

1 x11 middot middot middot x1k

1 x21 middot middot middot x2k

middot middot middot middot middot middot middot middot middot middot middot middot

1 xn1 middot middot middot xnk

⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎣

⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦

1113954β

β0β1middot middot middot

βk

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

ε

ε1ε2middot middot middot

εn

⎛⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎜⎝

⎞⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎟⎠

(4)

-en the multiple linear regression model can be writtenin matrix form

W X1113954β + ε (5)

232 Least Squares Estimation Method -e least squaresestimation takes the minimum sum of squared errors as thecondition of the accuracy of the linear regression model thatis for a given linear regression model W X1113954β + ε thevariance σ2 of the random error εi is the smallest that is theinfluencing factors other than the considered predictivefactor are minimal recorded as

1113954ε W minus X1113954β (6)

It is the residual vector of the prediction model then theresidual sum of squares is

S2E 1113944

n

i11113954ε2 (7)

and then

S2E 1113954εprime1113954ε (W minus X1113954β)prime(W minus X1113954β) WprimeW

minus 1113954βprimeXprimeW minus WprimeX1113954β + 1113954βprimeXprimeX1113954β(8)

and among them

1113954βprimeXprimeW 1113954βprimeXprimeW1113872 1113873prime WprimeX1113954β (9)

Regarding the residual 1113954ε as a function of 1113954β due to thenonnegativity of the residual it can be seen that there is 1113954β sothat z1113954εprime1113954εzβ 0 then there is

z1113954εprime1113954εzβ

minus2XprimeX1113954β + 2XprimeX1113954β (10)

Let FgtFα(k n minus k minus 1) available

XprimeX1113954β XprimeW (11)

From the assumption of the rank of the matrix X it canbe seen that XprimeX is invertible that is there is (XprimeX)minus1 andthen

1113954β XprimeX( 1113857minus1

XprimeW (12)

1113954β is the least square estimate of parameter β and it is easy toprove that 1113954β is an unbiased estimate of β

233 Coefficient Test of Regression Model -e significanceof the regression model coefficient β is verified by the test ofthe statistic d and the statistic d bjS(bj) is tested Amongthem

S bj1113872 1113873 aij

1113968S (13)

It is the sample standard deviation aij is (XprimeX)minus1 andthe main diagonal element S is the standard error

Mobile Information Systems 5

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 6: ERP System in the Logistics Information Management System

S

1n minus k minus 1

1113944

n

i1wi minus 1113954wi( 1113857

2

11139741113972

(14)

Under the condition of a certain significance level α anddegree of freedom f nminus kminus 1 if |t|gt tα(n minus k minus 1) it meansthat xi has a significant influence on the predicted object if|t|lt tα(n minus k minus 1) it means that xi has an insignificant in-fluence on the predicted object

3 The Research Experiment of ERP System inthe Logistics Information ManagementSystem of Supply Chain Enterprises

31 System Architecture of System Implementation -esystem mainly solves the following problems the process ofinformation transmission is not smooth the efficiency of thedelivery process is too low the ability to integrate resourcesis weak and the efficiency and service level cannot meet thegeneral standards required by the enterprise

In view of the development requirements of logisticsinformatization and the development trend in the trans-portation management process advanced logistics infor-mation technology must integrate advanced logisticsmanagement concepts and the combination of practice andtheory promotes the smooth completion of research anddevelopment Aiming at the system architecture the logisticscompany transportation management system is a platformwith great advantages It is oriented to multiparty logisticstransportation and belongs to the multidimensional logisticstransportation business at the management business level-e system needs to face different enterprise customers inspecific operations and meet the different needs of cus-tomers which requires the system to achieve complexfunctions in business -erefore the logistics and trans-portation information management system must realize themultidimensional architecture of the system so the system isdivided into a multilayer structure and each level has aninteractive relationship -e development and design of thissystemmainly adopt the BS structure-e specific structureis shown in Figure 2

System layer It provides software support for usersrsquonormal operating system including the system platforminstalled by the user the database system installed by theuser and the corresponding software which are the basics ofthe system Service layer It is the part that is built on theapplication basic platform and provides services for thesystem -e application basic platform integrates the de-velopment of the logistics transportation system the inte-gration of various applications and the foundation ofe-commerce -e platform provides corresponding servicesfor the system helping the system to exchange data at thebottom relying on the system layer to share data exchangedata with different applications and provide system logservices catalog management development frameworksuser permissions etc It provides an excuse for daily workand general applications and it is a portal for externalsystems to access the system -e service layer also provides

the encapsulation of some general classes as well as theservice classes commonly used in the system providingtransaction control data query security control systemmanagement and other aspects of interacting data with thebottom layer of the data -e business logic layer is mainlyfor handling various logistics-related business processes-ebusiness logic layer performs data operations by calling eachpackage class of the service layer -e presentation layer isthe layer where the user touches the system and displays thecorresponding system functions most intuitively to the user

32 Physical Architecture of the System According to thedescription of the architecture the realization of the physicalarchitecture of the system is divided into three layers basedon the BS structure which are the view layer the businesslayer and the data layer in turn

-eworkflow of the logistics system is as follows First theuser may have multiple browsers When the userrsquos browsersends a request to the middleware the system judges whetherthe user has the authority to perform the correspondingoperation according to the current userrsquos login informationsession If it meets the requirements the web applicationserver will process the browser-side request find the corre-sponding processing method start the data layer serviceprocess the data and return the processed data and results tothe web server container and the web server container returnsto the web server container Request support for concurrentoperations From the above operations the network topologyof the logistics system is shown in Figure 3

ERP-based enterprise logistics systems have certaincharacteristics such as consistency and convenience ofprojects unification and sharing decision-making flexibilityunification of advanced simulation and forecasting capitalflow and information flow etc -ese functions indicatebusiness logistics based on ERP -e information system is acomplete pillar logistics management system Realize theoverall benefits of production and logistics services in effectivemanagement and enhance the companyrsquos overall competi-tiveness Several experienced consultants talked about theirexperience in implementing IT logistics systems for ERP-based companies and said that to successfully implement anERP system three points depend on technology seven pointson talents and twelve points on data Although this statementis a bit exaggerated computers can only function if the in-formation is correct complete and timely otherwise they willproduce wrong results In other words the product databaseis the basis for the operation of enterprise logistics IT systemswith ERP capabilities -e application scope and depth of theERP-based business logistics system depend on the com-panyrsquos needs coverage and information content-erefore itis very important to prepare andmaintain a product database

33 System Detailed Design

331 Code Design -ere are the following principles incode design (1) -e design code must be optimized to meetthe needs of users When designing the code pay attentionto whether the loop condition is an infinite loop When

6 Mobile Information Systems

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 7: ERP System in the Logistics Information Management System

updating the database you must close the connection andclose the read and write stream when reading and writingfiles (2) A class represents a method trying to put somecommon methods and common constants into the commonclass (3) When designing the code write enough commentsso that the maintenance personnel can directly understandthe specific meaning of the written code and quickly locatethe code that needs to be modified (4) -e writing of thecode must conform to standardization If it is a constant itmust be static If the parameter passed by the method it is astatic parameter

332 Database Design Database design refers to the pro-cess of establishing a database that meets business needsafter the system implementer has selected specific databasesoftware When designing a database three stages are re-quired conceptual design logical design and physicaldesign

(1) Database conceptual structure design

-e database conceptual structure design is a con-ceptual model designed according to the needs of theenterprise It is an abstract expression of a concrete

Presentationlayer

Businesslogiclayer

Service layer

System layer

Standardsand

agreements

Safetymanagement

system

User login

User informationmodification

User information query Order informationquery

Order informationadded

Logistics companyquery

Logistics company query

Logistics companymanagementUser Management

Order management Vehicle management

System Management

Financial InformationManagement

Application base platform

Dataprocessing

service

Data exchangeservice

Data queryservice

Data controlservice

Operating platform

Database platform

Operating system platform

Figure 2 Logistics system implementation framework

Client

Internet

WebFirewall

Router

application server

Database server

Administrator

Figure 3 -e network topology of the logistics system (this picture is borrowed from baidu encyclopedia)

Mobile Information Systems 7

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 8: ERP System in the Logistics Information Management System

relationship It embodies the connection betweenvirtual life and reality and it does not requirehardware and software environmental support

(2) Database logical structure designLogical structure design is to convert the conceptualmodel completed in the conceptual structure designstage into a data model that can be supported by theselected database management system (DBMS)

4 Experimental Results and Analysis

41 Database Design Analysis -e conceptual design of thedatabase is only a simple description of the system databasedesign and it does not describe the system data require-ments in detail In the logistics information managementsystem the database uses SQL Server 2008 and the physicalmodel of the systemrsquos database is shown below-e functioninformation of this system is embodied in a tree structureand the subordinate relationship is established in the da-tabase mainly through function codes and superior functioncodes

411 System Module -e structure of the system functiontable is shown in Table 1

-e field length of each field name is shown in Figure 4For different system users users are classified and re-

flected by system roles A system role is represented as a typeof system user -e system role information mainly includesthe code of the role the name of the role and so on -estructure of the system role table is shown in Table 2

In order to distinguish the system operation authority ofdifferent system roles the relationship between roles andfunctions is expressed by establishing roles and functionswhich mainly include role codes function codes and thestructure of the role function table as shown in Table 3

412 User Module -ere are different access users in thesystem In order to distinguish the system users a userinformation table is created in the system to store the userrsquoslogin information including user code username userpassword etc -e structure of the user information table isshown in Table 4

-e field length of each field name of the user module isshown in Figure 5

42 Summary Analysis of Order Information -e orderinformation summary is used to record the information ofeach commodity warehousing including the warehousingorder number handler warehouse supplier etc -e lengthof each field name in the order table structure is shown inFigure 6

43 Realization of Main Functional Modules

431 Login Interface In this interface users can log in to thesystem -e user can enter the main page of the logisticsmanagement system through the login interface If theusername or password is incorrect the system will auto-matically jump to the login interface

432 Order Query Interface In this interface the user canquery the specific information of the logistics orderaccording to the query conditions and the warehouse ad-ministrator can check the corresponding data

820

100100100100100

20

20100100

20

0 20 40 60 80 100 120

Field

leng

th

GNDM

JSMSIMGURL JSMC

DKWZ

GNMS

JSDM

XSSXGNMC SJDM

URL

GNDM

LEVELID

Figure 4 Schematic diagram of the field length of each field nameof the system module

Table 1 System function table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 GNDM Varchar Cannot be empty Function code3 URL integer Cannot be empty Link address4 GNMC Varchar Cannot be empty Function name5 GNMS Varchar Can be empty Function description6 DKWZ Varchar Can be empty Open position7 IMGURL Varchar Can be empty -e maprsquos address8 LEVEL int Cannot be empty Node level9 SJDM Varchar Cannot be empty Superior code10 XSSX int Cannot be empty Display order

8 Mobile Information Systems

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 9: ERP System in the Logistics Information Management System

433 Warehouse Information Query -e warehouse man-ager can query the specific information of the warehouseincluding location warehouse code contact person etc

434 Order Management Interface Order administratorscan manage orders and make order summaries according tothe delivery requirements of users

435 Warehouse Information Interface Users can view andmodify the information of each warehouse

5 Conclusions

-is paper proposes that the development of an ERP-basedenterprise logistics information system is not a pure logisticsinformation system -e idea is to integrate the logisticsfunction modules of ERP on the basis of ERP and addappropriate other modules After analyzing the current ERPsystem and based on the logistics system an enterpriselogistics information system based on ERP is designed indetail

Table 2 System role table

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Can not be empty Role code3 JSMC Varchar Can not be empty Role name4 JSMS Varchar Can be empty Role description

Table 3 Role functions

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 JSDM Varchar Foreign key Role code3 GNDM Varchar Foreign key Function code

Table 4 User information

Serial number Field name Types Constraint Field description1 ID int Primary key automatic growth Serial number2 NAME Varchar Can not be empty Username3 XB Varchar Can not be empty Gender4 PW char Can not be empty User password5 LX char Can not be empty User type6 CANTACT Varchar Can not be empty Contact address7 BZ text Can be empty Remarks

minus20

0

20

40

60

80

100

120

minus2 0 2 4 6 8 10 12

Fiel

d le

ngth

Serial number

length

Figure 5 Schematic diagram of the field length of each field nameof the user module

20

6 6 63 1 1 2 1

20

30

10 11 10

ID

FYB

TYB CZ WT

LXBM YS

W

CDA

Y

DZT

YHID D

Z

LXR

LXP SL

DA

TE

Val

ue

Serial numberField length

Figure 6 Schematic diagram of field length of each field name oforder information

Mobile Information Systems 9

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 10: ERP System in the Logistics Information Management System

-e research value of this article is reflected in thefollowing

(1) Integrated ERP logistics module improves the re-sponse speed and accuracy of the system

(2) Fully consider adopting modern cost controlmethods to manage the smooth progress of devel-opment projects and ensure the financial guaranteefor system development

(3) -e designed system not only meets the needs oflarge-scale enterprises but also suits the needs ofsmall and medium-sized enterprises -e system hasa certain degree of versatility

(4) Modularization and flexibility are adopted whendesigning the system Different companies cancustomize corresponding modules according to theirown needs so as to meet the application require-ments that are in line with actual business needs andachieve the greatest cost-effectiveness and efficiency

(5) -e information sharing between the system andother ERP systems is fully considered Informationsharing is the most difficult and most valuable aspectof designing a system

Data Availability

No data were used to support this study

Conflicts of Interest

All authors declare that they have no conflicts of interest

Acknowledgments

-is work was supported by Research on the ReturnMechanism of Social Capital Investment Based on PPPModel of Pension Service (SK2019A0561) and Research onthe Economic Transformation of Resource-Based Cities inAnhui Province from the Perspective of Regional EconomicElasticity (SK2020A0426)

References

[1] I Kitouni D Benmerzoug and F Lezzar ldquoSmart agriculturalenterprise system based on integration of Internet of thingsand agent technologyrdquo Journal of Organizational and EndUser Computing vol 30 no 4 pp 64ndash82 2018

[2] K Jagoda and P Samaranayake ldquoAn integrated frameworkfor ERP system implementationrdquo International Journal ofAccounting and Information Management vol 25 no 1pp 91ndash109 2017

[3] L Fabisiak ldquoWeb service usability analysis based on userpreferencesrdquo Journal of Organizational and End User Com-puting vol 30 no 4 pp 1ndash13 2018

[4] A Jafarnejad M Ansari H R Youshanlouei and M MoodldquoA hybrid MCDM approach for solving the ERP system se-lection problem with application to steel industryrdquo Interna-tional Journal of Enterprise Information Systems vol 8 no 3pp 54ndash73 2017

[5] A Jenko and M Roblek ldquoA primary human critical successfactors model for the ERP system implementationrdquo

Organizacija Revija Za Management Informatiko in Kadrevol 49 no 3 pp 145ndash160 2016

[6] H J Li S I Chang and D C Yen ldquoInvestigating CSFs for thelife cycle of ERP system from the perspective of ITgovernancerdquoComputer Standards amp Interfaces vol 50 pp 269ndash279 2016

[7] B Kirubakaran and M Ilangkumaran ldquoSelection of optimummaintenance strategy based on FAHP integrated withGRAndashTOPSISrdquo Annals of Operations Research vol 245no 1-2 pp 285ndash313 2016

[8] J Peng J Quan and L Peng ldquoIt application maturitymanagement institutional capability and process manage-ment capabilityrdquo Journal of Organizational and End UserComputing vol 31 no 1 pp 61ndash85 2019

[9] H J Wei and C L Wei ldquoAnalysis of success factors of in-troducing SAP system for ERP implementation in small andmidsize enterprises in taiwanrdquo International Journal of DigitalLibrary Systems vol 2 no 1 pp 1ndash37 2017

[10] J Patalas-Maliszewska and S Kłos ldquo-e methodology of theS-ERP system employment for small and mediummanufacturing companiesrdquo IFAC-PapersOnLine vol 52no 10 pp 85ndash90 2019

[11] A Tenhiala M J Rungtusanatham and J W Miller ldquoERPsystem versus stand-alone enterprise applications in themitigation of operational glitchesrdquo Decision Sciences vol 49no 3 pp 407ndash444 2018

[12] M Schwenk ldquoDie Anmaszligung von Wissen oder weshalbUnternehmen mit ERP-Systemen immer wieder in dieselbenDenkfallen tappenrdquo HMD Praxis der Wirtschaftsinformatikvol 55 no 1 pp 3ndash8 2018

[13] H Kim ldquoInvestigating the mediating role of social networkingservice usage on the big five personality traits and on the jobsatisfaction of Korean workersrdquo Journal of Organizationaland End User Computing vol 31 no 1 pp 110ndash123 2019

[14] A B Hajilari M Ghadaksaz and G S Fasghandis ldquoAssessingorganizational readiness for implementing ERP system usingfuzzy expert system Approachrdquo International Journal ofEnterprise Information Systems vol 13 no 1 pp 67ndash85 2017

[15] W Peter ldquoOhne umwege vom sensor ins ERP-systemrdquoKonstruktion vol 69 no 5 pp 44-45 2017

[16] Y I Seon-Gyu and J J Kim ldquoAn analysis of the importance ofthe success factors in implementation stage of ERP systemrdquoJournal of the Korea Society of Computer amp Informationvol 21 no 12 pp 165ndash171 2016

[17] H Inge ldquoERP-system als Lenker des FertigungsprozessesrdquoElektrotechnische Zeitschrift Elektrotechnik + Automationvol 137 no 5 pp 39ndash41 2016

[18] B -omas ldquoERP-System Fur Kunststofftechnische ProzesserdquoDer Plastverarbeiter vol 67 no 12 pp 48-49 2016

[19] A Azadeh M Zarrin and N Salehi ldquoSupplier selection inclosed loop supply chain by an integrated simulation-Tagu-chi-DEA approachrdquo Journal of Enterprise InformationManagement vol 29 no 3 pp 302ndash326 2016

[20] M A Hossain M Quaddus and N Islam ldquoDeveloping andvalidating a model explaining the assimilation process ofRFID an empirical studyrdquo Information Systems Frontiersvol 18 no 4 pp 645ndash663 2016

[21] J R Muscatello D H Parente andM Swinarski ldquo-e impactof ERP alignment on logistics costs a work system theoreticalapproachrdquo International Journal of Enterprise InformationSystems vol 12 no 3 pp 1ndash17 2016

[22] Z Liu ldquoManagement of commercial assets in universities inthe information agerdquo International Core Journal of Engi-neering vol 5 no 9 pp 198ndash202 2019

10 Mobile Information Systems

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11

Page 11: ERP System in the Logistics Information Management System

[23] D Mishra and B Mahanty ldquoA study of software developmentproject cost schedule and quality by outsourcing to low costdestinationrdquo Journal of Enterprise Information Managementvol 29 no 3 pp 454ndash478 2016

[24] Y Liu Y Wang and J Chen ldquoResearch on the intelligentwarehouse management system based on near field com-munication (NFC) technologyrdquo International Journal ofAdvanced Pervasive and Ubiquitous Computing vol 8 no 2pp 38ndash55 2016

[25] K L Choy G Ho and C Lee ldquoA RFID-based storage as-signment system for enhancing the efficiency of order pick-ingrdquo Journal of Intelligent Manufacturing vol 28 no 1pp 1ndash19 2017

[26] R Kampf L Lizbetinova and K Tislerova ldquoManagement ofcustomer service in terms of logistics information systemsrdquoOpen Engineering vol 7 no 1 pp 26ndash30 2017

[27] J P Mcdonough ldquoGCSS-army wave 1 is donerdquo Army Sus-tainment vol 48 no 3 pp 62-63 2016

[28] X Jie and L Nan ldquoResearch on closed loop supply chain withreference price effectrdquo Journal of Intelligent Manufacturingvol 28 no 1 pp 51ndash64 2017

[29] X Wei ldquoFood safety countermeasures research based on thefood supply chainrdquo Advance Journal of Food Science andTechnology vol 12 no 5 pp 229ndash234 2016

Mobile Information Systems 11