improvement of potency in product coming up with by usage of fuzzy qfd & triz

7/28/2019 Improvement of potency in Product coming up with by Usage of Fuzzy QFD & TRIZ

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IPASJ International Journal of Management (IIJM)Web Site: http://www.ipasj.org/IIJM/IIJM.htm

A Publisher for Research Motivation........ Email: [email protected]

Volume 1, Issue 1, June 2013 ISSN 2321-645X

Volume 1, Issue 1, June 2013 Page 23

ABSTRACT

Nowadays, considering the wide industrial competition among firms, customization of merchandise and services is thought to

be an important downside. that's to mention firms should acknowledge customers demands and implement them in their

merchandise technical necessities. moreover; to use the merchandise technical necessities, firms should resolve the technical

necessities conflicts as shortly as doable. The current study provides researchers AN instrument for coming up with custom-

built transformers in Islamic Republic of Iran Transfo Company. during this regard,first, fuzzy QFD tool is enforced. Within

the House Of Quality matrix method, fuzzy analytic hierarchal method (FAHP) is enforced for coefficient customers

necessities and advanced decision-making computer code isused for calculatingnon- adaption coefficients, severally. however

there ar some conflicts among technical necessities. So, TRIZ instrument is employed for partitioning the conflicts among

technical necessities in brief time supported the necessities priorities. Regarding its purpose and information assortment

technique, this analysis is an operational case study. This analysis applied mathematics population consists of Islamic Republic

of Iran Transfo companys consultants that ar acquainted with coming up with of custom-built transformers. as a result of

experts restricted variety, no sample choice technique was used. Questionnaires validity was confirmed and their duration was

proved through calculative non-adaption constant.

1.INTRODUCTIONImplementing an energetic prospective approach is far simpler in preventing product collapse throughout

designation processs initial phases than taking a passive and reactive action in troublesome things. So, AN instrument

should be used for up merchandise innovation and withstanding in competitive environments [1].

By considering the very fact that customers purchase merchandise to meet their wants, firms should find customers

demands and translate them into a transparent language for establishing technical necessities. To respect customers

wants and target merchandise qualitative necessities, firms should rank these necessities. Furthermore, they need to

find and rank merchandise styles characteristics. The technical necessities ranking relies on the qualitative necessities

ranking.

But the most question is that if the above-named steps ar sufficient? will firms style their merchandise by ranking

technical necessities supported customers necessities in an exceedingly real world? conjointly if we tend to face a

retardant throughout product designation, can we've got enough time to resolve it? will not we'd like specific criterions

or approaches for determination these problems? therefore, product designation instruments should find and rank

technical necessities of product designation in keeping with customers necessities and guarantee their pertinency

within the world through partitioning their conflicts. By mistreatment attempt to error technique for partitioning the

conflicts, consultants cannot keep their firms within the competitive environment; as a result of time restriction, bythought of competitive intensity and necessity of lightness in production management. So, it's necessary to use

established criterions for coming up with merchandise and partitioning designation conflicts. mistreatment these

criterions, consultants will come back up with innovative strategies for agile production, follow customers wants in

Improvement of potency in Product coming upwith by Usage of Fuzzy QFD & TRIZ

Mr. A. K. Goswami

Department of Commerce and Management, Hemchandracharya North Gujarat

University, Patan, Gujarat, India


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product designation, minimize problem-solving amount and sustain with competitors.

Quality perform preparation instrument (QFD) will rank product designations technical necessities supported

customers qualitative necessities. For getting a lot of precise results, a lot of precise scales should be used. Triangular

fuzzy numbers will facilitate researchers during this regard.

To implement QFD output- that is that the products technical necessities ranking, consultants should 1st resolve the

probable conflicts between these rankings and their environments. This operation should be performed within the

shortest time to alter firms sustain with the competitive market. Here byusing systematised innovation technique,

consultants will fulfill each objectives.

This analysis case study consists of Islamic Republic of Iran Transfo companys specific transformers. electrical

device product was hand-picked as a result of the very fact that in electronic industries, designation method is simpler

and a lot of applicable. So, the man of science was seeking a product that he will simply implement his model in its

production.

This study primarily aims at increasing product designation potency (of manufacturing specific transformers) in

Islamic Republic of Iran Transfo Company.

In this regard, the analysis main objective is lessened into the subsequent subordinate objectives: detection the

customers customization necessities, decisive the technical necessities priorities supported customization necessities in

product designation, partitioning probable conflicts among designation necessities or product designation system

components while not compromising on these conflicts.

2.REVIEW OF LITERATUREQuality perform preparation

Quality perform preparation (QFD) is outlined because the manner we tend to understand the standard our customers

expect to look through dynamic method. [2]

QFD is additionally accomplished as House OfQuality matrix". this is often as a result of the very fact that the

matrixes making alignment in QFD,form a house-like diagram [2].

QFD may be a four stage strategy conducted employing a series of production team activities matrixes. the required

customary documents ar obtained throughout production and development method. The four strategy is delineated as

following: 1- product planning; 2- product design; 3- method planning; 4- method management planning[2].

Each stage matrix consists of vertical columns of "whats" and horizontal row of"hows"."whats" ar customers'

necessities. "Hows" ar the manner of satisfying customers' necessities. At every stage, "hows" ar transferred to

subsequent stage as "whats". As a result, house of quality matrix could be designed in numerous forms. the final

objective of coming up with a QFD model is to find customers necessities, ranking ofcustomers' necessities priorities,

competitively assessingcustomers' market, developing of production technical characteristics, coming up with of

matrix, decisive of key objectives, technically assessing of the issues, coming up with of relationship matrix andcompetitively assessing of technical management characteristics of the merchandise characteristics [2].

Fig 1: house of quality matrix four-stage process (Kohen, 1995)


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In the house of quality matrix, customers' necessities, in alternative word,"whats" inputs area unit incontestable on

the proper column. On the left, customers' competitive assessments of quality alternatives area unit inserted. The higher

limits reveal the technical necessities required for fulfilling customers quality necessities and therefore the bilateral

relationships between quality and technical necessities. Matrix middle cells demonstrate the bilateral relationships and

degrees of relationships between customers quality necessities and technical necessities. Matrix lower cells show the

outputs- technical necessities priorities in product designation [3].

TRIZ

Implementing this systematic technology process; GenrichAltshuller restored the innovation and exploration

technology. Nowadays, systematic innovation is termed TRIZ. TRIZ could be a Russian signifier pronounced. Its

English translation is Theory of Inventory Problem-Solving"(TIPS) [26:4].

Nowadays, product designation decision-making is crucial for maintaining with the competitive market

surroundings. But, neglecting customers necessities in technical necessities threatens organization existence.

So, AN applicable model should be enforced for relating between the 2 mentioned necessities and translating client

demands into technical necessities. Sometimes, designation necessities don't correspond or some perennial approaches

area unit enforced in product designation processes while not considering system surroundings changes. So, AN

applicable model should be designed for breakdown these issues and conflicts.

Realizing the actual fact that conflicts can be often resolved mistreatment innovative solutions is one amongst the 3

presuppositions of TRIZ. The 3 mentioned presuppositions area unit as following: 1) objective of achieving a perfect

design; 2) conflicts facilitate problem-solving; 3) AN innovative method is consistently established [3:4].

The main fault of the standard innovation improvement processes is that they're not enough effective in sophisticated

things. attempt to error methodology can be enforced for all processes however it should be thought of that a lot of

strive is required for resolution new sophisticated issues. many generations of specialists should plan to solve a haul.Altshuller (TRIZ founder) was guaranteed to facilitate sophisticated problems resolution method and share the

facilitation methodology with alternative specialists. His tries to enhance innovation method diode to TRIZ designation.

Altshuller main queries concerning innovation data development were:

1- a way to shorten innovation accomplishment route?

2- a way to style a method for up essential thinking? [3:4].

Altshuller complete that a lot of similar solutions are repeatedly used for long distant time periods. So; providing

innovators with a basic resolution, we are able to modify them to implement the solutions in shut time periods. As

innovative processes effectiveness increase, development gaps decrease and borders among technologies disappear. the

standard methodology of innovation improvement is to leap from a particular downside to a particular resolution. On

the opposite hand, the route to a particular resolution is unrepeatable and desires endless haphazard tries. This truth

reveals the standard methods incapability of resolution issues since it spends an excessive amount of time and value for

achieving ideal solutions. So, there's a requirement for AN instrument while not the preceding limitations. Rejecting

attempt to error methodology in innovative processes, TRIZ plan to decrease innovation time through dynamic specific

issues to general downside. [5:4]

QFD-TRIZ relationship

As explained higher than, the ultimate output of the house of quality matrix in QFD method is technical

requirements ranking.that is not final of the work.

As QFD reveals the "whats" of needed operations, TRIZ instrument determines "hows" of the desired operations.

Taking AN innovative, active and prospective approach is way simpler than showing passive reactions in preventingproduct collapse throughout its initial designation stages [1]. So, AN instrument is critical for breakdown oppositions

and conflicts instead of compromising on them. The enforced instrument should wide specialize in merchandise

innovation. thanks to the actual fact that customers purchase merchandise to meet their wants, corporations should


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translate customerss wants into TRIZ language so as to attain a novel standing within the market[5]. the connection

between QFD and TRIZ is incontestable within the following form.

Fig 2: The connection between QFD and TRIZ

House of quality matrixs roof reveals the bilateral relationships between technical necessities. synchronous

fulfillment of all technical necessities is not possible. Considering the technical requirements final ranking obtained

from the house of quality matrix, one technical parameters improvement results in alternative parameter's weakness.

this case is termed opposition or conflict. To resolve these conflicts, we've enforced TRIZ instruments to translate

technical necessities into thirty-nine designation parameters. within the matrix known as contradiction matrix,

bettering and deteriorating parameters area unit organized in rows and columns, severally. To resolve the conflicts,

we've used forty main parameters extracted for this purpose [6].

In their article known as case study of implementing fuzzy QFD in TRIZ for up services quality", Su & carver

finished that the practical TRIZ methodology should be enforced at the initial downside formulation stages. Otherwise,

abstract and ambiguous discourse of problem-solvers can hinder agreement on the results. Of course, effects of those

problem-solving conditions are seldom mentioned by TRIZ users. the most downside is that the TRIZ-based innovativesolutions area unit influenced by inappropriate and ambiguous characteristics of engineering parameters. during this

regard, analysis application of TRIZ methodology has been targeted on fuzzy QFD implementation for investigation the

correlation between customers ambiguous necessities and repair quality characteristics and deciding the essential

necessities associated with customers satisfaction. As a result, the conformist parameters of TRIZ engineering will be

extracted additional exactly and explicatively [7].

In the following paragraphs, a number of the opposite studies conducted on the systematic innovation technique are

mentioned:

Wang & Chen, tried to abroad implementation of 6sigma approach in business service, and combined TRIZ

methodology with this approach for increasing application of ancient 6sigma techniques. Results indicated that

combining of this 2 tools area unit helpful in up of banking services [8].

Kim & Yoon enforced TRIZ and QFD instruments for breakdown the conflicts between production and

consumption necessities in five hundred automobile factories within the world. Their findings unconcealed that

implementing forty TRIZ principals will profitably resolve production and consumption necessities conflicts [9].

In the alternative study, Zheng enforced a mixture of QFD and TRIZ strategies. during this new methodology

supported QFD house of quality matrix, TRIZ theory and information inclosure analysismethod are used for breakdown

little-used product issues and choosing TRIZ technique-based solutions, severally[1].

Having investigated the TRIZ data pertinence in pure production comes, Fresner unconcealed TRIZ instruments

main applications in mistreatment mere knowledge for innovative problem-solving. this is often thanks to the actualfact that TRIZ interprets the solutions supported complicated and specialised chemistry data into general knowledge-

based solutions and proposes forty principles for breakdown conflicts [1].


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Having investigated the TRIZ pedagogic courses effects on engineering students, Belski finished that the students

perception of their problem-solving skills had been considerably improved. mistreatment alternative techniques, they

may not have thought of achieving such AN innovative problem-solving speed [2].

Faris& Kane enforced a simulated version of TRIZ instrument in provision activities. In alternative words, the

translated forty principles utilized in TRIZ contradiction matrix into 3 main logistically vital variable groups-time, info

and resources- and used them for breakdown provision activities conflicts [3].

In their article, Filippi et al enforced TRIZ instrument for locating applicable solutions for fast comes capital come

rate in little and middle corporations [4].

In the alternative connected article, Farshad et al applied TRIZ instrument in price engineering. Their findings

unconcealed that implementing TRIZ instrument for investigation merchandise functions helps researchers sight each

helpful and harmful functions of merchandise whereas price engineering technique solely detects helpful product

functions [5].

To fulfill the most analysis objective, we have a tendency to should specialize in subordinate objectives like detective

work customers customization necessities, prioritizing product designation technical necessities supported

customization necessities, breakdown the probable conflicts among designation necessities or designation system parts

instead of compromising on these conflicts. So, analysis queries area unit mentioned as following:

3.ANALYSIS QUERIES1) however client wants area unit prioritized at product designation stage?

2) however product designation necessities area unit prioritized supported client requirements?

3) however product designation system conflicts area unit comparatively recognized mistreatment TRIZ instrument?

4) however product designation system conflicts area unit resolved mistreatment TRIZ instrument?

4.METHODOLOGYThis analysis is taken into account as AN practical analysis. it's planning to apply the principles obtained from basic

science branches like physics in management decision-making processes and increase merchandise potency. that's to

mention that we have a tendency to area unit witnessing technological transfer thanks to the present relationship

between basic sciences and management sciences, andbasic sciences contributions area unit applied in management

sciences. thanks to investigate of specific electrical device as system and therefore the objective of accelerating the

designation potency, current analysis could be a case study. conjointly thanks to the restricted variety of specialists and

specialists that area unit familiarwith specific electrical device designation, no sampling methodology is enforced

during this study.

4.1. Information gathering methodology

Four questionnaires are utilized in this research:

Due to lack of specialised data on transformers, the man of science has used innovation scenario form (ISQ) as AN

open answer form as initial analysis form. This form facilitate to spot the system,it's parts and surroundings.

Experts believe that ifproblem definition is completed properly, the half the problemhas solved with success. So, for

implementation of TRIZ, the matter should be initial outlined during a precise and correct manner. the matter should

be prominently investigated and its parts should be recognized. Recognizing the systems encompassing is necessity of

the innovative resolution. Having investigated the matter from completely different views, specialists should document

all downside information. Innovation scenario form helps researchers in fulfilling their objectives.

It is attainable that the matter isn't accurately recognized and operationally outlined and it's information don't seem

to be on the market for specialists. to unravel this downside, TRIZ has gathered all needed information consistently and


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created them on the market to specialists. Then thisstructured information area unit used at future stage of TRIZ for

reformulating the matter and breaking it right down to it's parts.

Considering the actual fact that in product designation method, downside definition needs the great definition of the

designed product- together with physical, practical, fiscal, qualitative and operational characteristics; the ISQ will work

effectively thanks to it's essence [6].

Furthermore, ISQ allows users come back up with a replacement formulation structures. Most careful issues will be

operationally outlined during a easy manner. Considering the matter surroundings, backgrounds, resources, pollutions,

favorable and unfavorable consequences; this form sections offer US with a comprehensive image of the matter [7].

The second form is termed analytic hierarchy method (AHP). This form aims at consideration the particular

transformers recognized in initial form. The extracted weighs area unit customers quality demand weighs detected by

organization specialists. So, specific transformers area unit compared in couples supported customers qualitative

variables mistreatment analytic hierarchy method.

The third form aims at investigation bilateral relationships between technical parameters in specific transformers

designation. The bilateral relationships between every of 2 parameters area unit investigated mistreatment the fuzzy

scales. moreover, ISQ is enforced for detective work the direction of technical necessities relationships. this is often

thanks to the actual fact that recognizing technical parameters and their limitations and relationships direction area

unit among the factors recognizable mistreatment ISQ. Considering the explained form parts, this analysis study system

is electrical device. Limitations of this type of electrical device area unit those recognized as customers quality

necessities. this type of electrical device( traditional transformer )doesnt ready to satisfy all customers necessities. So,

the particular electrical devices like the previous transformer area unit recognized. every specific electrical device is

intended to form up for a few limitations of the previous ones.

Forth form aims at assessing every specific electrical device result on designation parameters changes, compared

thereto of traditional electrical device.

Specific transformers are weighed by specialists supported customers quality necessities mistreatment second form.

To insert information into house of quality matrix, we've inserted specific transformers titles on the left and therefore

the calculated weighs on the proper. Fuzzy analytic hierarchic method (FAHP) has been enforced for consideration

quality necessities.

Super selections code is powerful decision-making code. mistreatment fuzzy scales and activity non-linear analyses

area unit among the capabilities of this code. This code has been wont to calculate analysis duration or second form

adaptation constant.

Changmethod stages for fuzzy analytic hierarchic method (FAHP)areasfollowing: 1) hierarchic diagram delineation;

2) fuzzy numbers definition for bilateral comparisons; 3) bilateral comparison matrix formation (A ) mistreatment

fuzzy numbers; 4) Sicalculation altogether bilateral comparison matrix rows; 5) Si greatness degree calculation

compared to every other; 6) criterions and alternatives weighs calculation in bilateral comparison matrixes; 7) final

weigh vector calculation [8].

To weigh customers necessities, the subsequent stages area unit exactly followed [9]:

Stage 1: hierarchic diagram delineation;

Customer quality necessities are extracted mistreatment comprehensive ISQ questionnaires. So, the data structure of

this analysis consists of the subsequent levels:

level(1): objective(best electrical device selection); level(2): customers quality necessities consisting of the

subsequent 10 factors: would like for maintenance, volume, age, weight, price, electrical device immunity to burningout(disruption), electrical device environments immunity to fireside, capability of operating in contaminated

environments, electrical device preparation time for being delivered to customers, voltage variations(demonstrated with

C_(1 ) to C_10 within the table). Level (3): six analysis alternatives as following: gas-filled tight transformers, oil-


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immersed tight transformers, transformers with conservator, dry transformers, auto- transformers and shell kind

transformers (demonstrated as A(1 ) to A6 within the table).

Stage 2: fuzzy numbers definition for bilateral comparisons;

Stage 3: bilateral comparison matrix formation mistreatment fuzzy numbers;

In this section of the matrix, alternatives area unit bilaterally compared with quality necessities. it's price mentioning

that since all analysis population specialists don't seem to be aware of specific transformers and technical

characteristics area unit thought of during this study, the numbers utilized in bilateral comparisons matrix and house of

quality matrix area unit supported the foremost used things or mode. thanks to diversity of knowledge for every

comparison, mistreatment average methodology would have diode to long method. Experts theories during this study

area unit technical instead of behavioural or humanistic. So, these theories don't seem to be completely different among

individuals. So, the foremost greed theories area unit thought of as basic ones.

So, bilateral comparison matrix is as following:

(1)

This matrix consists of the subsequent fuzzy numbers:

Stage 4: Si calculation for all rows of the bilateral comparison matrix

Being a triangular fuzzy variety, Si is calculated mistreatment the subsequent equation:

(2)Where; i is row variety and j is column variety. M9

ijarea unit triangular fuzzy numbers of bilateral comparison

matrixes. The amounts of , , and area unit calculated from the subsequent

formula, severally:

(3)

(4)

(5)

In these equations; li, mi and ui area unit the primary, the second and therefore the third variables of fuzzy numbers.

Stage 5: conniving the greatness degrees of Sis compared to every alternative.

Generally, if M1= (l1, m1, u1) and M2= (l2, m2, u2) area unit 2 triangular fuzzy numbers, M2 greatness degreecompared to money supply is outlined as:

(6)

On the opposite hand, fuzzy triangular greatness degree of 1 variety from alternative K fuzzy triangular numbers is

calculated as following:

(7)

Stage 6: criterions and alternatives weights calculation in bilateral comparison matrixes;

In this regard, the subsequent formula is implemented:

(8)

So, the unnormalized weight vector is incontestable as following:


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(9)

Stage (7): final weight vector calculation

To calculate final weight vector, we have a tendency to should normalize the load vector calculated at the previous

stage so:

(10)

After conniving the ultimate weight vector, we have a tendency to insert the result into the house of quality matrix

because the final weight of customers necessities.

The fuzzy numbers calculated by third form area unit inserted on the roof of house of quality matrix. These numbers

area unit modified intodi-fuzzy numbers, for facilitation.

The fuzzy numbers calculated by forth form area unit inserted within the body of the house of quality matrix. they'remodified intodi-fuzzy numbers,too.

Output weights of the house of quality matrix area unit the prioritized designation necessities.

Finally, forty TRIZ principles are used for detective work the contradictions between designation variables and their

encompassing environments. The contradiction matrix table is employed during this regard.

Super selections code is enforced for hierarchic analysis of questionnaires duration, mistreatment conformist

constant. Cronbach alpha constant wasn't use during this analysis since this constant is principally used for conniving

responsibility of behavioural studies whereas the present analysis aims at technical investigation of transformers

characteristics. If conformist constant price is a smaller amount than 0/1, analysis duration is approved. conformist

coefficients of all bilateral comparison matrixes area unit incontestable in table (1).

Table 1: criterions conformist coefficients

criterion matrix conforming coefficients

comparison between self criteria 0/09

need for maintenance 0/05

volume 0/07

age 0/07

weight 0/08

price 0/06

transformer immunity to burning out(disruption) 0/07

transformer environments immunity to fire 0/01

capability of working in polluted environments 0/04

transformer preparation time for being delivered to customers 0/04

voltage variations 0/06

As incontestable in table (1), conformist coefficients of all parameters area unit but 0/1. So, the present analysis is

reliable. By considering that bilateral comparison isnt apply in alternative form, the comfy constant isnt used.

6. INFORMATION ANALYSIS

FAHP operation results area unit incontestable in table (2).

As incontestable in table (2), dry-type transformers area unit the weightiest.

Table 2: calculation of specific transformers final weights;


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Using questionnaires three & four, bilateral relationships between technical necessities and every specific

electrical device result on technical necessities changes were detected. Results obtained from questionnaires are inserted

into the house of quality matrix. Then, fuzzy numbers of the house of quality matrix area unit defuzzied through the

subsequent formula:

(11)

The final weight is calculated by Super selections code to, and therefore the researchers thought of that the calculated

weights with code area unit capable the weights of table(2) in initial decimal. that the researchers commit to apply the

weights that area unit calculated with code in continuation of conniving operations, thanks to high precise of code.

So in the house of quality matrix, is the relative importance of specific transformers based on customer

requirements calculated by the software. Furthermore, and are defined as following [20]:

(12)

(13)

Where; RIj within the quality house relationships matrix reveals the relations and effects of specific transformers on

technical requirements designation. buildingis the relative importance of the Kth technical demand and T_kj is that

the coefficient of correlation between the Kth and therefore the Jth technical necessities on the roof of the house of

quality matrix. the result obtained from RIj*is the technical parameters final importance.

In the house of quality matrix output, customers necessities priorities for specific transformers designations area

unit mirrored on the proper. So, the primary analysis question is answered. In fact, customers quality necessities were

initial detected as qualitative characteristics like volume, price, immunity and etc, mistreatment open ISQ

questionnaires crammed by specialists. it had been unconcealed that specific transformers amendment qualitative

parameters. Specific electrical device sorts were recognized by mistreatment ISQ questionnaires. Then, specific

questionnaires were prioritized supported client necessities, mistreatment FAHP method.

As unconcealed, within the lower output of the house of quality matrix; the 3 technical parameters (current intensity,

trans power and cargo losses) area unit of the very best priorities, severally. so, the second analysis question concerning

prioritization of the merchandise designations technical necessities is answered.

But, however direct or indirect relationships between technical necessities and their environmental parts area unit

recognized? ISQ has helped specialists to understand these relationships additional comprehensively. The 3

parameters- current intensity and trans power and cargo losses- have positive relationship with one another. Increase


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within the initial 2 parameters is favorite however increase within the third parameter isn't favorite. supported thirty-

nine TRIZ parameters, the 2 bettering parameters- current intensity and trans power- area unit thought of as pressure

parameters. On the opposite hand, the deteriorating parameter load losses- is taken into account as energy loss

parameter. To resolve this conflict, you need to ask the technical contradiction matrix table and use the thirty sixth

parameter-fuzz amendment principle. supported this principle, fuzz amendment effects like volume amendment area

unit applicable effects. So, it's attainable to reduce energy loss by maximising coil cross-sectional space. the subsequent

tables column reveals the contradiction breakdown matrix. the proper column and therefore the higher row reveal

bettering and deteriorating parameters, respectively. the amount indicting the 2 parameters overlapping section reveals

the contradiction breakdown principle.

Table 3: breakdown conflicts mistreatment contradictions matrix

Deteriorating parameter. . .energy. ..

Amelioratingparameter

.

.

.

Principl

e 36

pressure

. .

If the coil cross-sectional space is redoubled, additional core capability are occupied and this may increase core cross-sectional space. supported the house of quality matrix output; aftercoil length, core cross-sectional space and No load

losses area unit the foremost vital priorities, respectively. there's a negative relationship between core cross-sectional

space and No load losses.

So, there's no opposition between core cross-sectional space and No load losses. But, the immobile objects volume

increase- caused by core cross-sectional space increase- leads to it's length increase that it shows more room occupation.

Having thought of the immobile object volume and object length increase as bettering and deteriorating parameters,

you'll ask the ordinal principle of the contradiction breakdown matrix-core spheration- and resolve the conflicts. The

sphere core can occupy less capability.

Table 4: breakdown conflicts mistreatment contradictions matrix

Deteriorating parameter

...

Immobileobj

ectlength

...

Amelioratingparameter

...

Principle

14

imm

obile

object

volume

...


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So, the third and therefore the fourth queries, concerning detection and resolution of the conflicts between trans

technical necessities mistreatment TRIZ instrument, area unit answered.

7. Discussion and conclusionThis analysis in the main aims at maximising product designation processes potency. This analysis provides

specialists with AN instrument for systematizing product designation method and breakdown designation conflicts.

This analysis is applicable in several aspects. additionally to considering customers necessities for product designation

mistreatment QFD instrument, and innovative solutions supported TRIZ principles for breakdown technical conflicts

and issues caused by customers necessities area unit projected. So, this analysis proposes strategies for minimizing the

arrival method to correct designation amount time and increasing potency. By minimizing time loss, we are able to

fulfill our objective of electrical device designation. thanks to the actual fact that fuzzy scale has been enforced during

this study, the obtained results area unit additional precise than those obtained in traditional things.

To increase potency, the value issue is taken into account, thanks to the parameters concerned within the customers

quality necessities prioritization was value. This issue was thought of during this analysis. To resolve technicalnecessities conflicts, some suggestions were provided mistreatment TRIZ for decreasing load losses or no load

lossesthat these suggestions were indicator of preventing energy loss and excessive prices.

The analysis propositions area unit as following:

1- Implementing a mixture of QFD and TRIZ in commission business to meet the most objective of "using innovative

solutions during this industry.

2- employing a combination of TRIZ and information inclosure analysis model.by detective work inefficient sections,

information inclosure analysis model helps detective work system contradictions.

3- This analysis has geared toward breakdown technical conflicts at the primary stage of the house of quality matrix

method. At this stage, designation technical necessities area unit recognized supported final customers qualitative

characteristics. So, it's projected that researchers implement a mixture of QFD and TRIZ at the opposite stages of

the matrix.

4- increasing price engineering by conducting operational researches mistreatment TRIZ.

Considering the actual fact that this analysis aims at ranking specific transformers and breakdown their technical

conflicts, it makesthat analysis population is tiny. this is often thanks to the actual fact that the amount of specialists

aware of specific transformers is incredibly restricted. moreover, every professional was aware of a restricted variety of

transformers and not all of them. form designation could be a tightened task. It involves specialised aspects. moreover,

participants justification could be a troublesome method.

The other limitation of this study is that it doesn't specialize in the opposite electrical device producer corporations

except Persia Transfo. to collect information regarding customers interests, designation and sale specialists are utilized

since we have a tendency to couldn't contact customers directly.

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improvement of potency in product coming up with by usage of fuzzy qfd & triz

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