curriculum · 2019-08-22 · scheduling problems – scheduling techniques for job shop, stages in...

CURRICULUM

M. TECH. IN INDUSTRIAL ENGINEERING

(July 2019 admissions onwards)

APPROVED BY

BOARD OF STUDIES (BOS)

During meeting on February 18, 2019

Teaching Scheme

DEPARTMENT OF INDUSTRIAL & PRODUCTION

ENGINEERING

Dr B R AMBEDKAR NATIONAL INSTITUTE OF

TECHNOLOGY, Jalandhar

Phone: 0181-2690301, 02 (Ext. 2101, 2104), Fax: 0181-2690932 Website:

www.nitj.ac.in

http://www.nitj.ac.in/

TEACHING SCHEME FOR M.TECH “INDUSTRIAL ENGINEERING” APPROVED FROM BOARD OF STUDIES OF DEPARTMENT OF INDUSTRIAL AND PRODUCTION

ENGINEERING Applicable w.e.f. July 2019 Onwards

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Programme Educational Objectives (PEOs):

The graduates will have capability to focus on the processes and find ways for

improvement.

The graduates will be able to make optimal and sustainable business decisions using the

complex chunks of data.

The graduates will be capable of taking on supply chain management, marketing and

finance along with the grasp on the technical aspects.

Programme Outcomes (POs):

Problem analysis: Identify, formulate, review and analyze engineering problems

reaching optimal solutions using principles of mathematics and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems

and design system components or processes that meet the specified needs with

appropriate consideration for the public health and safety, and the cultural, societal, and

environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and

research methods including design of experiments, analysis and interpretation of data,

and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and

modern engineering and IT tools including prediction and modeling to complex

engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to

assess societal, health, safety, legal and cultural issues and the consequent

responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional

engineering solutions in societal and environmental contexts, and demonstrate the

knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities

and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or

leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the

engineering community and with society at large, such as, being able to comprehend

and write effective reports and design documentation, make effective presentations, and

give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the

engineering and management principles and apply these to one’s own work, as a

member and leader in a team, to manage projects and in multidisciplinary

environments.

Life-long learning: Recognize the need for, and have the preparation and ability to

engage in independent and life-long learning in the broadest context of technological

change.



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Course Structure and Scheme for M. Tech Full Time Programme in Industrial Engineering Maximum Credits = 65 SEMESTER - I

Course

Code Course Title

Hrs./week Credits

L T P

IP-501 Statistics 3 0 0 3

IP-503 Operations Planning & Control 3 0 0 3

IP-505 Simulation & Modelling 3 0 0 3

IP-507 Work System Design & Ergonomics 3 0 0 3

IP- *** Program Elective - I 3 0 0 3

IP- 511 Simulation & Modeling Laboratory 0 0 3 2

IP-513 Work Design & Ergonomics

Laboratory 0 0 3 2

Total 15 0 6 19

SEMESTER - II

Course

Code Course Title

Hrs/week Credits

L T P

IP-502 Data Analytics 3 0 0 3

IP-504 Advanced Operations Research 3 0 0 3

IP-506 Quality Management 3 0 0 3

IP-*** Program Elective - II 3 0 0 3

IP-*** Program Elective - III 3 0 0 3

IP-508 Data Analytics Laboratory 0 0 3 2

IP-510 Advanced Operations Research and

Quality Control Laboratory 0 0 3 2

Total 15 0 6 19



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SEMESTER - III

Course Code Course Title

Hrs/week

Credits L T P

IP-515 Logistics & Supply Chain

Management 3 0 0 3

IP-*** Program Elective - IV 3 0 0 3

IP-601 Seminar 0 0 6 3

IP-600 Dissertation (Phase-I)** 0 0 12 6

Total 6 0 18 19

SEMESTER – IV

Course Code Course Title

Hrs/week

Credits L T P

IP-600 Dissertation (Phase-II)** 0 0 24 12

Total 0 0 24 12



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LIST OF ELECTIVES

Sr. No. Code Course Name

1 IP-521 Project Management

2 IP-522 Management Information Systems

3 IP-523 Reliability and Maintenance Engineering

4 IP-524 Environment Management Systems

5 IP-525 Strategic Management

6 IP-526 Engineering Economy

7 IP-527 Change Management

8 IP-528 Facilities Planning and Design

9 IP-529 Technology Management

10 IP-530 Product Analysis and Cost Optimization

11 IP-531 System Dynamics

12 IP-532 Advanced Computational Techniques

13 IP-533 Marketing Management

14 IP-534 Product Design & Value Analysis

15 IP-535 Computer Aided Process Planning

16 IP-536 Design and Analysis of Experiments

17 IP-537 Enterprise Resource Planning

18 IP-538 Advanced Optimization Techniques

19 IP-539 Sustainable Manufacturing

20 IP-540 Knowledge Based Decision Support System

21 IP-541 Financial Management and Accounting

22 IP-542 Energy and Environment

23 IP-543 Occupational Health and Safety Management

24 IP-544 Data Structures and Programming Methodology

25 IP-545 Computer Aided Decision Systems

Programme electives from MTech Manufacturing Technology Programme

26 IP-551 Computer Aided Design

27 IP-553 Industrial Robotics

28 IP-555 Metal Fatigue

29 IP-557 Hybrid Manufacturing Methods

30 IP-552 Industrial Internet of Things

31 IP-554 Mechanics of Metal Forming

32 IP-556 Advanced Casting and Welding Technology

33 IP-563 Physical Metallurgy

34 IP-565 Additive and Subtractive Manufacturing



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SEMESTER 1

IP- 501 Statistics [3-0-0-3]

Course Objective

To train the students about various tools and techniques of data analysis so that they can

apply the same for analysis of real life data encountered in their jobs.

Course Outcomes

After completing the course students will be able to

CO1. Student shall be able to demonstrate the capability of data collection and analysis

for performance analysis.

CO2. Student shall be able to calculate central tendency and dispersion from the data.

CO3. Student shall be able to various theoretical probability distributions and apply the

same in real life situations.

CO4. Student shall be able to perform correlation and regression analysis, to establish

the relation between dependent and independent variables.\

CO5. Student shall be able to the method to apply advance statistical tests like chi-

square test, F- test, T-test etc. and use them to find the significance of variance.

CO6 Student shall be able to estimate the values of population parameters from sample

statistics.

DETAILED SYLLABUS

Section A

Concept of statistics, collection and representation of data, frequency distribution, graphical

representation of data, measure of central tendency and dispersion, coefficient of dispersion,

moments, factorial moments, skewness and kurtosis.

Different approaches to probability, addition and multiplication theorem of probability,

Conditional probability, Bayes theorem and applications. Random variables – discrete and

continuous, distribution function, probability mass function, probability density function, two

dimensional random variables, mathematical expectation, expectation of discrete and

continuous random variables, properties of expectation, conditional expectation. Discrete and

Continuous Probability Distributions: Hypergeomatric, Binomial, negative Bionomial, Poisson,

Normal, Exponential.

Section B

Correlation analysis, Regression analysis, Curve fitting using least square method.

Estimation Theory: Sampling and sampling distribution, Pont and interval; estimation, Tests of

significance, One tail and two tails test, standard error, sampling of attributes, test of number

and proportion of successs, difference of two proportions, sampling of variables, Large sample

test for single mean, difference between two means and standard deviation, small sample

tersts:- students t-test for single mean, difference between two means, F-test. forality of

varience.

Non Parametric Tests: The sign test, rank sum tests, test of randomness, the Kolmogorov-

Smirnov and Anderson- Darling tests

Section C

Chi-square Test : use of chi-square test for determining Goodness of Fit and independence of

attributes

Analysis of time series:- introduction, Editing of time series Data, Componants of time series, Measurement of trend and seasonal variation.



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Interpolation and Extrapolation: - Introduction, graphic method, Algebric methods-

bionomial expansion, Newton’s and Lagrange’s methods.

TEXT BOOKS

1. Levin & Rubin, “Statistics for Management” 7th Edition, Pearson Education Singapore.

2. Sukhminder Singh, M.L. Bansal” Statistical methods for research workers” Kalyani

Publishers

3. Bhattacharya G.K. and Johnson R.A.: Statistical Concepts and Methods, John Wiley, New

Delhi,2002.

4. Hogg R. V. And Elliot A.T,” Probability and Statistical Inference”, Pearson Education, 6th

Edition.

5. Hogg R V, Craig A T ,”Introduction to Mathematical Statistics”, Sixth Edition, Pearson

Education, Delhi

REFERENCE BOOKS

1. Walpole & Mayers, “Probability & Statistics” 8th Ed. Pearson Education, New Delhi.

ONLINE RESOURSES

1. NOC: Probability and Statistics, Prof. Somesh Kumar, Department of Mathematics, IIT

Kharagpur https://nptel.ac.in/courses/111105090https://nptel.ac.in/courses/112107209/

https://nptel.ac.in/courses/112107209/



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IP -503 Operations Planning & Control [3-0-0-3]

COURSE OUTCOMES

1. Explain the importance of production management

2. Classify various models

3. Solve industrial problems involved in inventory, MRP and scheduling

DETAILED SYLLABUS

Introduction: The scope of operations function in the organization, the transformation

process, goods-service continuum, manufacturing vs. service, system’s view of

operations, managing sub-systems of operations, strategic role of operations, historical

evolution, trends in operations management.

Capacity Planning: design capacity, effective capacity, actual output, efficiency &

utilization, capacity cushion, steps in capacity planning, developing capacity

alternatives, capacity strategies, economies of scale, evaluating capacity alternatives,

cost-volume analysis.

Facilities planning and design: Concept of facility, need for location decisions, steps in

location study, subjective, qualitative and quantitative techniques for location selection,

types of layouts, plant layout factors, layout design procedure.

Inventory management: Inventory concepts, reasons for holding inventory, types of

inventory, inventory reduction tactics. Inventory turnover ratio. Selective Inventory

management: ABC, VED, and FSN analysis etc., identifying critical items with

selective inventory management.

Optimizing Inventory: Assumptions for Wilson’s lot size model, inventory costs,

hidden costs, composition of costs, estimation of inventory related costs, lead time,

stock out point, number of time periods, calculating Economic Order Quantity (EOQ),

sensitivity analysis of EOQ model.

Special inventory models: Finite replenishment rate model, lot size models with

planned backlogging, generalized model with uniform replenishment rate, inventory

model with lost sales, quantity discount model, one period decisions. Determination of

safety stock, service level and uncertainty in demand. Information systems for

inventory management.

Materials Requirement Planning: Independent vs Dependent demend, Ordering &

Manufacturing lead times, inputs to MRP, MRP processing, MRP record, basic MRP

logic. Lot sizing rules, Lot for lot ordering policy, MRP output reports, benefits of

MRP, safety stock in MRP, evolution of MRP. JIT & lean manufacturing.

Scheduling: basic concepts – various types of scheduling – Methods and tools to solve

scheduling problems – scheduling techniques for job shop, stages in scheduling.

Sequencing: Sequencing process, priority sequencing rules: FCFS, SPT, LPT, EDD,

CR - critical ratio, S/O - slack per operation, Rush - emergency, dynamic sequencing

rules, Johnson’s Rule, numericals.

TEXT BOOKS

1. Krejwski L J , Ritzman L P , Operation Management, Pearson Education Asia, 6th

edition

2. Panneerselvam R. Production and Operations Management, PHI, 2005.



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3. Mukhopadhyaya, S.K., “Production Planning and Control – Text and Cases”,

Prentice-Hall of India,2004

REFERENCE BOOKS

1. Evert E. Adam, Ronald J Ebert, Production and Operations Management, Prentice

Hall of India, 5th

edition.

2. J R Tony Arnold, Chapman Stephen N., Introduction to Materials Management,

Pearson Education Asia, 4th

edition.

3. Ray Wild, Operation Management, Thomson press, 6th

edition.

ONLINE RESOURSES

1. Coursera Course, Operations Management: Analysis and Improvement Methods,

https://www.coursera.org/learn/process-improvement

2. Coursera Course, Operations Management and Strategy Toolkit for Managers,

https://www.coursera.org/learn/strategy-and-operations

3. Project and Production Management, NPTEL course by Prof. Arun Kanda,

Department of Mechanical Engineering, Indian Institute of Technology, Delhi ,


https://www.coursera.org/learn/process-improvement



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IP- 505 Simulation & Modeling [3-0-0-3]

COURSE OUTCOMES:

1. Develop Manufacturing Models of Discrete event systems

2. Generation of Uncertainty using Random numbers and Random Variates

3. Perform Input, Output Analysis: Verification & Valediction of Models and

Optimization

Definitions of manufacturing with input-output model, Introduction to systems and

modeling, System Modeling Issues, System Modeling Tools and Techniques:

Introduction to mathematical modeling, optimization, and simulation; Issues related

with deterministic and stochastic models; Continuous and discrete mathematical

modeling methods

Random number generation Properties of Random Numbers –Generation of Pseudo

Random Numbers –Techniques –Tests for Random Numbers

Random variates-Inverse Transform Technique –Direct Transform Techniques

Convolution Method Acceptance Rejection Technique– Routines for Random Variate

Generation

Discrete Event Monte Carlo Simulation. Simulation of Single Server Queuing System.

Simulation of manufacturing shop floor system, Simulation of Inventory System

Modeling of absorbing states and deadlocks; Conflicts; Concurrency, and

synchronization etc., Basic concepts of Markov chains and processes; The M/M/1 and

M/M/m queue; Models of manufacturing systems, introduction to Petri nets.

Testing -Analysis of simulation data-Input modeling – verification and validation of

simulation models – output analysis for a single model.

Simulation languages and packages-Case studies in FLEXSIM, ARENA, Modeling and

Simulation with Petrinets, case studies in manufacturing systems

References

1. Jerry Banks & John S.Carson, Barry L Nelson, “Discrete event system simulation”

,Prentice Hall (5th

Edition)

2. Law A.M, “Simulation Modeling and Analysis”, Tata Mc Graw Hill (5th

Edition)

3. NarsinghDeo, “ System Simulation with Digital Computer”, Prentice Hall

4. Pidd, M, “Computer Simulation in Management Science”, John Wiley & Sons, Inc.

(5th

Edition)



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IP-507 Work System Design and Ergonomics [3-0-0-3]

COURSE OBJECTIVES

To provide basic understanding to the students about the concept and significance of

work study and ergonomics.

To impart thorough knowledge to the students about various techniques of work-study

for improving the productivity of an organization.

To inculcate the skill among the students for analyzing and improving existing methods

of working on the shop floor of an organization.

To impart through knowledge and skills to students with respect to allowances, rating,

calculation of basic and standard time for manual operations in an organization.

To provide the knowledge to the students about various wages and incentives schemes.

To inculcate analyzing skills among the students with respect to work place design,

working postures and lifting tasks.

COURSE OUTCOMES

CO 1: Students will be able to calculate the basic work content of a specific job for

employees of an organization. Thereby they will be able to calculate the production

capacity of man power of an organization.

CO 2: Students will be able to analyze and calculate the level of risk in a job causing

stress, fatigue and musculoskeletal disorders and design appropriate work systems.

CO 3: Students will be able to rate a worker engaged on a live job and calculate basic,

allowed and standard time for the same.

CO 4: Students will be able to analyze the existing methods of working for a particular

job and develop an improved method through questioning technique.

CO 5: Students will be able to provide appropriate allowances for the jobs under

analysis.

DETAILED SYLLABUS

Introduction: Productivity, definition and scope of motion and time study, history of

motion and time study, work method design, human factor in the application of work

study, man – machine interface.

Motion study: concept, operation process chart, flow chart, multiple activity charts,

travels chart, flow diagram, and operation analysis. Micro motion study, memo motion

study, cycle graphic and chronocyclegraph analysis, fundamental hand motions,

therbligs, micro motion study equipment, film analysis- SIMO charts, principles of

motion economy.

Time study: concept, uses of time study, time study equipment, making the time study,

work sampling, determination of sample size, procedure for selecting random

observations, errors in work sampling.

Rating factors and allowances: the concept of qualified worker, the average worker,

standard rating and standard performance, definition of rating, systems of rating, rating

of efforts, scales of rating, introduction to allowances, classification of allowances,

applying the allowances, determining the time standards, predetermining time standards

(PTS), standard data, the uses of time standards, MTM-I, MTM-II.



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Principles of workplace design, physical requirements in the workplace

anthropometrics and communication considerations, social requirements of the

workplace- personal and territoriality considerations. Workspace design; general

principles, deciding position of control with respect to other controls, position of

displays with respect to other displays, positioning of displays and controls, control

display compatibility.

Ergonomics: Introduction, definition, objectives and scope, man-machine system and

its components. Introduction to musculoskeletal system, respiratory and circulatory

system, metabolism, measure of physiological functions- workload and energy

consumption, Introduction to biomechanics, types of movements of body members,

Design of lifting tasks using NIOSH lifting equation, Distal upper extremities risk

factors, risk assessment tools; Strain Index, RULA, REBA. Introduction to

anthropometry; work table and seat designing. Design of Visual displays and controls.

Occupational exposure to; noise, whole body Vibrations, heat stress and dust. Effect of

vibration/ noise, temperature, illumination and dust on human health and performance.

TEXT BOOKS

1. Barnes Ralph M., “Motion & Time study: Design and Measurement of Work”,

Wiley Text Books, 2001.

2. Marvin E, Mundel & David L, “Motion & Time Study: Improving Productivity”,

Pearson Education, 2000.

3. Benjamin E Niebel and Freivalds Andris, “Methods Standards & Work Design”,

Mc Graw Hill, 1997.

4. Lakhwinder P S, ”Work Study and Ergonomics”, Cambridge University Press, 2016

REFERENCE BOOKS

1. International Labour organization, “Work-study”, Oxford and IBH publishing

company Pvt. Ltd., N.Delhi, 2001.

2. Sanders Mark S and McCormick Ernert J, “Human Factors in Engineering and

Design”, McGraw- Hill Inc., 1993.

3. KjellZandin, Maynard's Industrial Engineering Handbook, Fifth Edition, McGraw

Hill, 2001.



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IP- 511 Simulation & Modelling Lab [0-0-3-2]

COURSE OBJECTIVE

To provide students an opportunity to learn to use the methods of modelling and

simulation as a tool to improve the effectiveness of production systems.

COURSE OUTCOMES


CO1: Appreciate the power of Modelling and Simulation as a tool for the planning and

design of Production Systems

CO2: Use MS Excel for simulation of simpler problems of Production Systems

CO3: Use advanced software for discrete event system simulation

Packages: MicroSopft EXCEL, Flexsim and other emerging packages, Programming in

C and Matlab)

LIST OF EXERCISES

1. Random Number Generation approaches

2. Random Variate Generation

3. Simulation of Manufacturing Shop

4. Simulation of Multiple Servers Queuing System

5. Simulation of Supply Chain Inventory System

6. Simulation of Batch Production System

7. Simulation of Multi Machine Assignment System

8. Simulation of Manufacturing and Material Handling Systems

9. Simulation of a Shop Floor

10. Simulation of Material Handling Systems

TEXT BOOKS

1. User manuals of respective software’s



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IP-513 Work Design & Ergonomics Laboratory [0-0-3-2]

COURSE OBJECTIVES

To inculcate the skill among the students for analysing and improving existing methods of

working on the shop floor of an organisation. To impart through time study skill among the

students through applying various allowances, rating practices, and calculate the standard

time for manual operations in an organisation. To inculcate the analysing skills among the

students w.r.t. work place design, working postures and lifting tasks. To provide thorough

knowledge about assessment about exposure to occupational hazards like: heat stress, noise,

vibrations and RSPM. To impart skill for conducting hearing conservation and respiratory

health prevention in the industry.

COURSE OUTCOMES

CO1. Students will be able to calculate the basic work content of a specific job for

employees of an organisation. Thereby they will be able to calculate the production capacity

of man power of an organisation.

CO2. Students shall be able to analyse the existing methods of working for a particular job

and develop an improved method.

CO3. Students shall be able to rate a worker engaged on a live job and calculate basic,

allowed and standard time for the same.

CO4. Students shall be able to provide appropriate allowances for the jobs under analysis.

CO5. Students shall be able to analyze and calculate the level of risk of the job causing

stress, fatigue and musculoskeletal disorders among the employees of an organization.

CO6. Students shall be able to assess the occupational environmental factors like heat stress,

noise, vibration and RSPM level in the industry.

DETAILED SYLLABUS

1. Method to improve the assembly and dis-assembly of a Bolt, a nut and three

washers

2. Methods Improvement – Assembling pins on cardboard

3. Rating Practice –Walking on level grounds and dividing a pack of cards into four

equal piles.

4. Rating Practice – Films and analysis.

5. Work sampling exercises.

6. Stop watch time study on drilling machine, lathe machine and CNC machine

7. Calibration of an individual using Tread Mill as a loading-device.

8. To analyse the work posture of an individual using Ergo master Software.

9. Measurement of anthropometrics data and analysis of data.

10. 1Audiometric examination a through pure tone audiogram of a subject using

portable audiometer in a portable audiometric testing cabin.

11. To measure the respiratory parameter of an individual.

12. To measure the ambience noise and to check the noise dose of an environment

using sound level meter and noise dosimeter.

13. To measure the heat stress of an individual using area heat stress monitor.

14. To measure the dust exposure of an individual using dust sampler.



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SEMESTER 2

IP– 502 DATA ANALYTICS [3-0-0-3]

COURSE OUTCOMES:

1. Recognize the importance of data analytics

2. Exhibit competence on data analytics packages

3. Apply solution methodologies for industrial problems

DETAILED SYLLABUS

Introduction to Multivariate Statistics- Data entry and analysis using basic methods,

Degree of Relationship among Variables-Review of Uni-variate and Bi-variate

Statistics-Screening Data Prior to Analysis-Missing Data, Outliers, Normality,

Linearity, and Homoscedasticity.

Analysis of Variance: Technique of Analysis of Variance (ANOVA), one way

classification, two way classification with and without interaction.

Multiple Regression- Linear and Nonlinear techniques- Backward-Forward-Stepwise-

Hierarchical regression-Testing interactions (2way interaction) - Analysis of Variance

and Covariance (ANOVA & ANCOVA) - Multivariate Analysis of Variance and

Covariance (MANOVA & MANCOVA).

Design of Experiments:- Preliminaries, Principles of experimental design, fixed,

Random and mixed effect models, Completely Randomized Design, Randomized

block design, Latin square design, Taguchi Loss function.

Logistic regression: Regression with binary dependent variable -Simple Discriminant

Analysis-Multiple Discriminant analysis-Assessing classification accuracy- Conjoint

analysis (Full profile method).

Principal Component Analysis -Factor Analysis- Orthogonal and Oblique Rotation-

Factor Score Estimation-Multidimensional Scaling-Perceptual Map-Cluster Analysis

(Hierarchical Vs Nonhierarchical Clustering).

Latent Variable Models an Introduction to Factor, Path, and Structural Equation

Analysis- Time series data analysis (ARIMA model) – Decision tree analysis (CHAID,

CART) - Introduction to Big Data Management, Interpretive structural modeling, Data

Assessment using analytical methods (MCDM).

References

1. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L.

“Multivariate data analysis”, (7th edition). Pearson India. 2015

2. Tabachnick, B. G., & Fidell, L. S., “Using multivariate statistics”, (5th edition).

Pearson Prentice Hall, 2001

3. Gujarati, D. N. , “Basic econometrics”, Tata McGraw-Hill Education, 2012

4. Malhotra, N. K., “ Marketing research: An applied orientation”, 5/e. Pearson

Education India, 2008

5. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. “ Applied multiple

regression/correlation analysis for the behavioral sciences”, Routledge., 2013

6. Han, J., Kamber, M., & Pei, J. “Data mining: concepts and techniques: concepts

and techniques”, Elsevier, 2011.



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IP-504 Advanced Operations Research [3-0-0-3]

COURSE OBJECTIVES

The objective of this course is to develop an ability in the students to understand and

analyze managerial problems in industry so that they are able to use resources (capitals,

materials, staffing, and machines) more effectively, formulate mathematical models for

quantitative analysis of managerial problems in industry and develop skills in the use

computer tools in solving real problems in industry.

COURSE OUTCOMES

CO1. Students shall be able to use variables for formulating complex mathematical

models in management science, industrial engineering and transportation science.

CO2. Students will be able to use various software packages such as Lingo, Solver, and

TORA for solving linear programming and integer programming models.

CO3. Students will be able to solve real life problems related with transportation and

assignment problems, queuing theory etc.

CO4. Understand and apply different algorithms for solving goal or integer

programming, nonlinear programming problems.

CO5. Understand genetic algorithms, Binary/Real coded GAs for constrained

optimization, and simulated annealing, ant colonies, particle swarm optimization.

The simplex algorithm, duality, sensitivity analysis-changes in right- hand side

constants of constraints-changes in objective function co-efficient-adding a new

constraints-adding a new variable. dual simplex method, revised simplex method.

Transportation algorithm and optimality, assignment model, Hungarian method.

Decision making under certainty, risk and uncertainty, game theory, two-person zero-

sum game, mixed strategy.

Integer programming algorithm – Cutting plane algorithm- Zero-one implicit

enumeration algorithm.

One dimensional cutting stock problem. Dantzig Wolfe decomposition algorithm, Goal

programming formulations. Nonlinear programming problems.

Network models, shortest path problems, Maximum flow problem, Branch and Bound

algorithm and heuristics for travelling salesman problem, Vehicle routing problems,

Chinese postman problem.

Single server and multiple server queuing models, quadratic programming, Mixed

integer linear programming.

Recommended Books 1. Taha, H.A., Operations Research - An Introduction, Sixth Edition, Prentice Hall of

India Private Limited, N. Delhi, 1997.

2. Hillier, F.S., Operations Research, First Indian Edition, CBS Publishers and

Distributors, Delhi, 1994.

3. Wagner H.M., Principles of Operations Research, Second Edition, Prentice Hall of

India Private Limited, New Delhi, 1996.

4. G.Srinivasan , “Operations Research Principles and Applications” ,PHI 2008.

5. Panneerselvam ,R, "Operations Research”, Prentice – Hall of India, New

Delhi,2002.



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IP- 506 Quality Management [3-0-0-3]

COURSE OBJECTIVES

This course will present the theory and methods of quality monitoring including process

capability, control charts, acceptance sampling etc. to give the participants the

necessary tools for the development of efficient statistical methods for the assurance of

quality in manufacturing & service environments. It is of major concern that the

participants learn to assess the efficiency of various methods under consideration in

relation to the specific areas of application. Also aim is for students to develop an

understanding of some of the TQM tools and techniques for effective real life

applications in both manufacturing and services.

COURSE OUTCOMES

1. To develop an ability to apply the basic concepts of quality monitoring.

2. Formulate an adequate statistical control problem for a production or similar

process &use alternative statistical methods for solving the process control

problem.

3. Student shall be able to demonstrate reduction in formation of defectives by

comparing alternative process control methods concretely (numerically) & in

general.

4. Use attribute sampling methods & assess economics of inspection for choosing an

inspection strategy (No Inspection, Sampling Inspection & 100% Inspection).

5. Students shall be able to apply techniques like QC tools, six sigma and other

quality techniques for investigating and analyzing quality related issues in the

industry and suggest implementable solutions.

6. Achieve savings in rupees to the companies through quality control and

improvement programmes.

DETAILED SYLLABUS

Introduction: Importance of quality- evolution of quality- definitions of quality-

dimensions of quality- quality control- quality assurance.

Statistical process control - chance and assignable causes, statistical basis for control

charts, basic control charting principles, selection of control limits, Type-1 errors, Type

II errors, effect of control limits on errors, effect in inference, effect of sample size on

control limits, sample size, frequency of sampling. Theory of Runs, interpretation of

plots. Control charts for mean, range and standard deviation, control charts with

variable subgroup size, individual measurement charts- X-chart, moving average and

moving range chart, multi-vari chart.

Control charts for attributes: advantages and disadvantages of attributes charts,

preliminary decisions, charts for proportion non-confirming (p-chart), construction and

interpretation, variable sample size, Charts for non-confirming items (np chart), chart

for number of non-conformities (c chart), and classification of non-conformities.

Process capability: Process stability- process capability study using control charts-

capability evaluation- Cp, Cpk and Cpm – capability analysis using histogram and

normal probability plot- machine capability study- gauge capability study.

Acceptance inspection: sampling inspection, 100% inspection, no inspection,

acceptance sampling plans for attributes and variables, producer’s risk and consumer’s



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risk, operating characteristic curve, Types of sampling plans: single double, multiple

and sequential sampling plans, average outgoing quality, average total inspection,

average sample number, AOQ, ATI & ASN curves. Design of sampling plans.

Economics of Acceptance Inspection. Standard sampling plans: Dodge Roming plans

and MIL-STD 105 E.

TQM Tools & Techniques: The seven traditional tools of quality – Six-sigma: (6σ):

introduction, comparison of 3σ / 6σ yield levels, CTQ: Critical to Quality, theme

selection (activity focusing). 6σ methodology: DMAIC -Various formulae to measure

different metrics related to Six Sigma defects, yield calculations, Case Study &

Numericals.

ISO: 9000 Quality Audit: Need for ISO 9000, ISO 9000 - Quality System – Elements,

Documentation. Process audit & product audit, internal audit, second party, third party

audit, pre-assessment, compliance audit. Procedure of auditing: planning,

execution,reporting, close out of corrective action. Minor & major non-conformities.

TEXT BOOKS

1. Grant E L and Leavenworth R S, “Statistical Quality Control”, McGraw Hill, Sixth

Edition (2000)

2. Amitava Mitra, “Fundamentals of Quality Control and Improvement”, Pearson

Education Asia, Third Edition (2014)

3. James R. Evans and William M. Lindsay, “The Management and Control of

Quality”, (6th Edition), South-Western (Thomson Learning), 2005.

4. Dale H.Besterfiled, et al., “Total Quality Management”, Pearson Education Asia,

Third Edition, Indian Reprint, 2006.

REFERENCE BOOKS

1. Hansen Bertrand L and Ghare Prabhakar M, “Quality Control and Applications”

Prentice Hall of India Pvt. Ltd., First Edition (1993)

2. Zaidi A., “SPC: Concepts, Methodologies and Tools”, Prentice Hall of India, First

Edition, (2003).

3. Oakland, J.S. “TQM – Text with Cases”, Butterworth – Heinemann Ltd., Oxford,

Third Edition , 2003.

4. Suganthi,L and Anand Samuel, “Total Quality Management”, Prentice Hall (India)

Pvt. Ltd., 2006.

5. Janakiraman,B and Gopal, R.K, “Total Quality Management – Text and

Cases”,Prentice Hall (India) Pvt. Ltd., 2006.

ONLINE RESOURSES

1. http://asq.org/learn-about-quality/

2. Coursera Course, Operations Management: Strategy and Quality Management for

the Digital Age, https://www.coursera.org/learn/process-improvement

3. Quality Design and Control, NPTEL course, Prof. Pradip Kumar Ray, Department

of Industrial and Systems Engineering, Indian Institute of Technology (IIT),

Kharagpur, https://onlinecourses.nptel.ac.in/noc18_mg02/preview

4. Total Quality Management - I, NPTEL course, Prof. Raghu Nandan Sengupta,

Department Industrial & Management Engineering , Indian Institute of Technology

(IIT), Kanpur, https://onlinecourses.nptel.ac.in/noc17_mg18/preview

http://asq.org/learn-about-quality/

https://onlinecourses.nptel.ac.in/noc18_mg02/course

https://onlinecourses.nptel.ac.in/noc18_mg02/preview

https://onlinecourses.nptel.ac.in/noc17_mg18/preview



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IP – 508 DATA ANALYTICS LAB [0 0 3 2]

COURSE OBJECTIVE

The objective of this lab is to enable students to have exposure on Data Analytics using

SYSTAT, SPSS and GaBi.

COURSE OUTCOMES


CO1: Use Statistical analysis software to calculate Correlation co-efficients and

Regression Equations

CO2: Use Statistical analysis software for Hypothsis testing, ANOVA

CO3: Use Statistical analysis software for cluster and Factor analysis

CO4: Use Statistical analysis software for Performance Measurement of Industrial

systems

List of Experiments

1. Linear Regression and Correlation

2. Testing of Hypothesis – I & II

3. Analysis of Variance (ANOVA)

4. Factor analysis

5. Life Cycle Assessment of products

6. Cluster Analysis

7. Performance Measurement of Industrial systems

Text Books

User Manuals of respective software



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IP - 510 Advanced Operations Research and Quality Control Laboratory [0-0-3-2]

COURSE OBJECTIVE

The objective of this lab is to enable students to have exposure on use of computer tools

for solving different Operations Research problems and statistical aspects of Quality

Control.

COURSE OUTCOMES


CO1: Construct Mathematical models of various Operations Research problems, solve

them using software tools like MS Excel, Solver etc.

CO2: Understand that the sample means follow Normal distribution irrespective of

population distribution

CO3: Calculate the process capability index for any equipment for a given product

tolerance.

CO4: Understand the application for Binomial distribution for any number of defectives

in a sample.

Detailed Syllabus

Operations Research

1. Understanding use of Add In functions/tools such as Solver, Random Number

Generations for Simulations in MS Excel

2. Tackling complex word problems for converting these into optimisation problems

involving large number of variables and constraints for solving with Solver

3. Understanding the use of Solver for knowing the sensitivity of solution with

respect to right had side of constraints and coefficient s of objective functions

4. Understanding conversion of Transportation Problems into Linear Programming

Problems and solving these with Solver involving some additional constraints

5. Understanding conversion of Assignment Problems into Linear Programming

Problems and solving these with Solver

6. Understanding queuing situations by simulating the queuing environment in MS

Excel/other tools.

Quality Control

1. To show that sample means from a normal universe follow a normal distribution.

2. To show that sample means from a non-normal universe (rectangular universe) also

follow a normal distribution.

3. To show that sample means from a non-normal universe (triangular universe) also

follow a normal distribution.

4. To verify binomial distribution of the number of defectives. (By mixing marbles

of different colours & assuming say white marbles to be defectives or by any other

suitably designed experiment).

5. In the manufacturing of double headed pins, the two diameters are to be closely

controlled. Determine the process capabilities from the given pins. Find the

expected percentage of product meeting the specification. Discuss how the process

capability can be improved.



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SEMESTER 3

IP-515 Logistics and Supply Chain Management [3-0-0-3]

COURSE OBJECTIVES

The objective of the course is to provide the student the knowledge of strategic importance of

good supply chain design, planning, and operation for every firm. How good supply chain

management can be a competitive advantage, what weaknesses in the supply chain can hurt the

performance of a firm. The role of e-businesses in supply chain management. Various key

Drivers of supply chain performance and how these drivers can be used in practical level.

Knowledge of various distribution networks and their applications.

COURSE OUTCOMES

CO1. Students will be able to apply the knowledge of Linear Programming to find optimal

solutions of Supply Chain & Logistics related problems.

CO2.Students will be able to Interpret and apply the concepts of logistics and supply chain

management in improving other functional areas of business organizations.

CO3. Students will be able to understand different types of distribution networks and design a

network for meeting a particular strategy of an organization

CO4. Students will have sufficient knowledge to develop models and solve problems by using

tools such as Solver, Lingo Etc. and develop interest for research & higher education.

CO5. Students will be able to improve the performance of existing Supply Chains by

developing a better decision support system

CO6. Students will be able to save resources for the organizations & make Supply Chains

environmental friendly

Detailed Syllabus

Section A

Introduction to Supply Chain: Objectives of supply chain, stages of supply chain,

supply chain process cycles, customer order cycle, replenishment cycle, manufacturing

cycle, procurement cycle, push/pull view of supply chain processes, importance of

supply chain flows, and examples of supply chain.

Supply Chain Performance: supply chain strategies, achieving strategic fit, product

life cycle, the minimize local cost view, the minimize functional cost view, the

maximize company profit view, the maximize supply chain surplus view.

Supply Chain Drivers and Obstacles: Four drivers of supply chain – inventory,

transportation, facilities, and information, a framework for structuring drivers, role of

each driver in supply chain, obstacles to achieve strategic fit.

Information Technology in Supply chain: Enabling supply chain through IT, ERP

vendor platform, service oriented architecture (SOA), RFID.

Section B

Network Design: Factors influencing distribution in network design, distribution

networks in practice, framework for network design decisions, models for facility

location and capacity allocation, making network design decisions in practice.

Global Supply Chain Networks: Risk management in global supply chains, Impact of

uncertainty on global network design, Evaluation of global supply chain design



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decision under uncertainty, discounted cash flow analysis, representation of uncertainty,

evaluating networks using decision trees, illustration through practical examples.

Demand Forecasting: Role of forecasting in supply chain, Time series forecasting

methods, Measures of forecast errors.

Aggregate Planning in Supply Chains: Role of aggregate planning in a supply chain,

aggregate planning strategies, aggregate planning using linear programming and

problem solving using solver, practical problems concerning aggregate planning.

Managing Economies of Scale in a Supply Chain: Role of cycle inventory in a

supply chain, various costs associated with inventory management, deterministic

models and discounts, probabilistic inventory management.

Section C

Transportation in a Supply Chain: Facilities affecting transportation decisions,

modes of transportation and their performance characteristics, design options for a

transport network, tradeoffs in transportation decision, tailored transportation, routing

and scheduling in transportation, making transportation decisions in practice.

Optimum Level of Product Availability: Importance of the level of product

availability, factor affecting optimal level of product availability, managerial levers to

improve the supply chain profitability.

Sourcing Decisions in Supply Chains: Role of sourcing in supply chains, supplier

assessment, design collaboration, sourcing planning and analysis, market sourcing

decisions in practice.

Coordination in a Supply Chain: Lack of supply chain coordination and the Bullwhip

effect, effect of lack of coordination on performance, obstacles to coordination,

managerial levers to achieve coordination, achieving coordination in practice.

Recommended Books

1. Martin Christopher, Logistics and Supply Chain Management, Pearson Education

Asia (2002).

2. Peter Meindl , Supply Chain Management – Strategy, planning and operation’s,

Pearson Education ,Asia (2002).

3. Kapoor K K, Kansal Purva, Marketing logistics: A Supply Chain Approach,

Pearson Education Asia (2002).

4. Buffa, Modern production/operations Management, Wiley Eastern Ltd. (2000)

5. Alan Muhlemann, John Oakland and Keith Lockyer, Production and operation

Management, Macmillan India Publications (2000)

6. K.Aswathappa,K.S.Bhat, Production and Operations Management, Himalaya

Publishing House, Mumbai (2000).

7. R.Panneerselvan, Production and operations Management, Prentice Hall of India,

Delhi (2000).



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IP-517 SEMINAR [0-0-6-3]

Students are required to give a seminar on a topic of their proposed thesis work and

submit a detailed report in a form of review article comprising of at least 50 referenced

articles. The report should have the following structure:

1. Title

2. Abstract

3. Nomenclature

4. Introduction

5. Background

6. Comprehensive literature review

7. Discussion of results

8. Conclusion

9. References

The report should have been checked for any plagiarism.



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PROGRAM ELECTIVES

IP-521 Project Management [3-0-0-3]

COURSE OBJECTIVE

With increasing technological and scientific advances, the efficient and effective

planning and implementation of major projects is becoming increasingly complex and

critical. This course is aimed at providing both basic and some advanced exposure to

enable the manager of tomorrow to successfully complete sophisticated projects within

the constraints of capital, time, and other resources.

COURSE OUTCOMES

1. To understand the concepts of project definition, life cycle, and systems approach;

2. To develop competency in project scoping, work definition, and work breakdown

structure (WBS);

3. To handle the complex tasks of time estimation and project scheduling, including

PERT and CPM

4. To develop competencies in project costing, budgeting, and financial appraisal;

5. To gain exposure to project control and management, using standard tools of cost

and schedule variance analysis;

6. To appreciate and understand the use of computers in project management,

especially a software like MS Project.

DETAILED SYLLABUS

Introduction: concept and definition of a project, categories of projects, project life

cycle phases, project visibility, roles and responsibility of project manger.

Project planning and analysis: Generation of ideas, monitoring the environment,

corporate appraisal, scouting for project ideas, preliminary screening, project rating

index, sources of positive net present value. Market and demand analysis, technical

analysis, project cash flows, social cost benefit analysis, project viability. The

statement of work, project specifications, work breakdown structure. Contracting in

projects, types of contracts. Organization planning, project versus non-project

organization, matrix form of organization.

Project scheduling: Gantt chart, milestone chart, limitations of Gantt and milestone

charts. Development of the network, activity on node and activity on arc network

precedence diagrams, Fulkerson’s flow algorithm, topological ordering, redundancy

removal, tackling cycles in the network. Isolating critical path, multiple critical paths.

Determination of the floats: total float, safety float, free float and independent float.

Decision CPM, Generalized activity networks, GERT.

The PERT model: event orientation, uncertainty, the PERT assumptions, variability of

the activity times, expected times for activities, expected length of the critical path,

invoking central limit theorem, due date probability, limitations of network models.



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Time-cost trade off: cost versus time, straight-line approximation of variation of cost

with reduction in time for activities, direct and indirect costs. Contracting the network:

fixed project duration and corresponding total cost, optimum project duration and

minimum project cost, project cost curve.

Network cost accounting: cumulative costs for early and late start schedules, range of

feasible budgets, graphic display of cost and time data, time and cost overrun or

underrun in projects.

Scheduling with limited resources: the complexity of the project scheduling with

limited resources, heuristic programs, resource leveling and resource allocation in

project scheduling. Information requirements for projects, project management software

based application using Microsoft Project, Primavera.

TEXT BOOKS

1. Kerzner Harold, “Project Management - A Systems Approach to Planning,

Scheduling and Controlling”, CBS Publishers Delhi, Second edition (2002).

2. Weist Jerome D and Ferdinand K. Levy, “A Management Guide to PERT/CPM

with GERT/PDM/DCPM and other networks”, Prentice-Hall of India New Delhi,

Second edition (2003)

3. Parsanna Chandra, “Project Planning, Analysis, Selection, Implementation and

Review”, Tata McGraw Hill, Fourth Edition (2002)

REFERENCE BOOKS

1. Srinath L.S., “PERT & CPM Principles and Applications”, Affiliated East- West

Press Pvt. Ltd., New Delhi, Third Edition (1993)

2. Ghattas R G and Sandra L Mckee, “Practical Project Management” Pearson

Education Asia, First edition (2004).

3. PMI, A guide to Project Management body of knowledge, 2000.

ONLINE RESOURSES

1. Coursera Course, “Introduction to Project Management Principles and Practices

Specialization”,

2. https://www.coursera.org/specializations/project-management

3. Coursera Course “Professional Certificate in Applied Project Management”,

4. https://www.coursera.org/professional-certificate/applied-project-management

5. Project management Institute, https://www.pmi.org/


Department of Mechanical Engineering, Indian Institute of Technology, Delhi ,


https://www.coursera.org/specializations/project-management

https://www.pmi.org/




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IP-522 Management Information Systems [3-0-0-3]

COURSE OBJECTIVE

The course aims at making a student understand the importance of computer based

information system, components' of such a system and peculiarities of different stages in

development of an information system.

COURSE OUTCOMES After completing the course students will be able to

CO1. Students will be able to apply the concepts like data, information, normalization

etc. in real life.

CO2. Students will be able to help in designing suitable information system for the

specific needs of a functional area/organization as a whole

CO3. Students will be able to analyze the errors in the flow of information in an

organization and suggest suitable system to rectify this problem.

CO4. Students will have sufficient knowledge of advanced tools like simulation and

artificial intelligence and their role in decision making process.

CO5. Students will be able to work as team leaders/co-ordinators in the team created to

develop and implement Computer based information system in an organization.

DETAILED SYLLABUS

Section A

Managing the digital firm: Concepts, need and scope of Information system in

business organization, the competitive business environment and the emerging digital

firm, transformation of business enterprise, major business functions, approaches to the

development of an organization’s information system; technical approach, behavioral

approach, socio – technical approach, new options for organization design, the Network

revolution, Internet and its functions, World Wide Web, LAN etc., positive & negative

impacts of information systems.

Information systems in the enterprise: Organizational levels, subsystems of

information system; operational level, knowledge level, management level and strategic

level information systems, transaction processing systems, office automation systems,

knowledge work systems, MIS, DSS, ESS, relationship of various information systems

to one another, systems from a functional perspective, System development life cycle,

Nolans model of growth of MIS in an organization, introduction to ERP, information

interpretation.

Managing data resources: Components of computer based information system

(CBIS), file organization terms & concepts, problems with traditional file environment,

Database Management System (DBMS), types of Databases, Relational DBMS,

hierarchical & network DBMS, Object oriented databases. Data mining, Knowledge

management.

Decision making: Steps in decision making, Simons model of decision making, Types

of decisions i.e. structured and unstructured decisions, Departmental, inter departmental

and organizational decisions, role of MIS in decision making



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Section B

Logical database design: Entity relationship diagram, properties of tables, Data flow,

Data flow diagram, update anomaly, insertion anomaly, deletion anomaly,

inconsistency anomaly, repeating groups, primary key and concatenated key,

Normalization, 1NF to 2NF to 3 NF steps, Object oriented analysis and design.

Artificial intelligence: Expert system, features of an expert system, heuristic and

algorithm, human expertise vs. artificial expertise, knowledge representation: rule-

based methods & frame-based methods, tasks and stages of expert system development

and difficulties in developing an expert system.

Section C

Introduction to SQL: - Practice of basic commands of SQL, development of MIS for

simple business situations

Recommended Books

1. Laudon Kenneth C and Laudon Jane P, Management Information Systems, Pearson

Education Asia, Eighth Edition (2004)

2. Donald A Waterman, A Guide to Expert Systems, Pearson Education Asia, Third

Indian Reprint (2002)

3. Banks Jerry…et al., Discrete Event System Simulation, Pearson Education Asia,

Third Edition (2001)

4. Davis & Olson, Management Information Systems, McGraw Hill International

Editions.

REFERENCE BOOKS

1. Parker & Case, “Management Information Systems”, McGraw Hill International

Editions.

ONLINE RESOURSES

1. Prof. Biswajit Mohanty, IIT Kharagpur, https://nptel.ac.in/courses/122105022/



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IP-523 Reliability and Maintenance Engineering [3-0-0-3]

COURSE OBJECTIVES

This course is designed to introduce basic concepts of maintenance and reliability to

the students, to introduce various methods of reliability analysis with real time

problems with constraints and to make understanding the applications of Reliability

and Maintenance analysis in different types of systems.

COURSE OUTCOMES

CO1.The students will be able to use statistical tools to characterise the reliability of

an item and determine the reliability of a system, and will also understand the

application of maintenance strategies in a manufacturing environment;

CO2. The students will be able to establish maintenance strategies according to

system characteristics and design transition programs to implement these strategies.

CO3. The students will develop ability in formulating suitable maintenance strategies

to enhance system reliability of a manufacturing system

CO4. Student will be able to apply concepts of TPM, RCM, & FMECA in managing

the manufacturing organisation with highest possible levels of reliability/ availability.

Maintenance Engineering

Introduction: Role of maintenance in the organization, system approach, objectives of

maintenance, types of maintenance systems, Principles of maintenance

Planned Preventive Maintenance: Elements of PPM, work planning and scheduling,

workload estimation, manpower estimation, work order procedure, planned

maintenance procedure, development of checklists

Maintenance planning: Long range planning, short range planning, planning

techniques, planning procedure, estimation of maintenance work

Maintenance evaluation: Need of evaluation, types of evaluation, statistical analysis

of performance, selection of work measurement methods, cost of maintenance

evaluation, life cycle costing

Development of maintenance engineering practices: Tribology practices, terro-

technology practices, indigenous substitution, reconditioning, advanced strategies

Maintainability: Concept, maintainability measures, FMEA analysis, FTA analysis,

availability, system downtime

Failure concepts and Characteristics: Failure analysis, Machine vibration, Data

acquisition, Fault detection and vibration monitoring.

Reliability Engineering

Introduction: Concept, certain and impossible events, complementary events,

Kolmogorov Axioms, definition of reliability

Failure data analysis: Failure data, mean failure rate, MTTF, MTBF,

calculation from filed data

Hazard models: Introduction, constant hazard, linearly increasing hazard, The Weibull

Model, distributions functions and reliability analysis

System Reliability: Conditional probability, multiplication rule, Venn diagram, Bayes’

theorem, calculation of system reliability for series, parallel and mixed configuration,



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logic diagram, Markov models- Load –sharing system, Standby system, standby system

with switching failure and degrade system.

Reliability improvement: Element and unit Redundancy, standby redundancy, fault

tree construction, tie set and cut set methods

Recommended Books

1. Clifton R H, Principles of Planned Maintenance, McGraw Hill, New York, 2001.

2. Higgins, Handbook of Maintenance Management, Prentice Hall, New York, 1999.

3. Srinath L S, Reliability Engineering, Affiliated East-West Press Limited, New

Delhi, 2002.

4. Dhillon B S, Engineering Maintainability, Prentice Hall of India, New Delhi, 2000.

5. Wireman Terry, Preventive Maintenance, Reston Publishing Company, Reston

Virginia, 1998.



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IP-524 Environment Management System [3-0-0-3]

COURSE OBJECTIVES

To emphasize the functioning of natural and human-generated environmental systems

for design and implementation of environmental planning and its control measures in

manufacturing and service industries in order to address the climate

change/environmental issues more effectively and efficiently.

COURSE OUTCOMES

CO1: The students will be able to analyze the complex and dynamic interactions

between humans and their environment / ecosystem.

CO2: The students will be able to apply professional techniques and procedures for

effective environmental planning

and its management.

CO 3: The knowledge and awareness of environmental legislations will make the

students to contribute to the development of environmental management system design

(ISO 14000) at various levels (Company, Municipality, national and international).

CO4: The students will be able to understand the need for environment impact

assessment for various projects and will be able to implement the same in the real life

situation.

DETAILED SYLLABUS

Environment Management: Planning and Management of Environmental Impact

Studies. Impact indentation methodologies: base line studies, screening, scooping,

checklist, networks, overlays. Prediction and assessment of impacts on the

socioeconomic environment. Environmental cost benefit analysis. Preventive

environmental management.

Environment Assessment & Audit: Environmental property and processes,

Environmental simulation models, Elements of environmental impact analysis, Impact

assessment methodologies, Framework of environmental assessment, Environmental

impact of water resources projects, Assessment of hydrological hazards, Case studies.

Environmental audit, audit items, audit procedure, safety audits.

Engineering products and processes: Environmental health and safety, Product life

cycle stages, Material toxicity, pollution, and degradation, environmentally conscious

design and manufacturing approaches, Sustainable development and industrial ecology.

System life-cycles from cradle to reincarnation, Product life-extension, Organizational

issues. Pollution prevention practices, Manufacturing process selection and trade-offs.

Environment Pollution & Control: Waste water from Industries, mixing of industrial

and domestic waste, Pre-treatment of industrial waste-reduction of waste. Air pollution,

composition, indices of thermal comfort, comfort zones, air pollution sources, pollutant,

indications of air pollution, prevention and control disinfection of air. Noise pollution:

Definition, effect of noise exposure, noise control, Thermal Pollution. Water Treatment

Plants, Air pollution control devices. Management of air pollution control, management

of water pollution, management of prevention of thermal pollution. Management of

solid waste disposal, hazardous wastes, management of noise pollution, biomedical

waste management, management of agricultural pollution, electronic wastes, batteries

waste.



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Design for Environment: Motivation, concerns, definitions, examples, guidelines,

methods, and tools. Recyclables assessments, Design for recycling practices.

Remanufacturability assessments, Design for Remanufacture / Reuse practices.

Industrial ecology and Eco-industrial parks. Eco-Labels and Life-Cycle analysis (LCA):

LCA methodology, steps, tools and problems, Life-Cycle Accounting and Costing. ISO

14000 Environmental Management Standards. New business paradigms and associated

design practices, kyoto protocol.

Pollution Control Laws: Legal aspects, court judgments, functions of pollution control

board. Environment legislations and its uses, water Act, air Act water Cess Act,

hazardous waste handling Act, biomedical waste management Act, solid waste

management Act, role of environmental enforcement organizations.

Recommended Books

1. R Raja Gopalan, Environmental Studies, Oxford University Press, New Delhi.

2. Metcalf & Eddy, Waste water Engineering, Pearson Education.

3. M N Rao, Air pollution, Tata McGraw Hill New Delhi.

4. Larry W Canter, Environment Impact Assessment, Tata McGraw Hill New Delhi.

5. Linsey R K, Water resources and Environmental Engineering, Tata McGraw Hill

New Delhi.

6. S P Mahajan, Pollution control in Process Industries, Tata McGraw Hill New Delhi.

7. Garg S K, Environmental Engineering, Khanna Publishers New Delhi 2003



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IP-525 Strategic Management [3-0-0-3]

COURSE OBJECTIVE

To train the students about various tools and techniques of data analysis so that they can

apply the same for analysis of real life data encountered in their jobs.

COURSE OUTCOMES After completing the course students will be able to

CO1. Student shall be able to demonstrate the capability of data collection and analysis

for performance analysis.

CO2. Student shall be able to calculate central tendency and dispersion from the data.

CO3. Student shall be able to various theoretical probability distributions and apply the

same in real life situations.

CO4. Student shall be able to perform correlation and regression analysis, to establish

the relation between dependent and independent variables.\

CO5. Student shall be able to the method to apply advance statistical tests like chi-

square test, F- test, T-test etc. and use them to find the significance of variance.

CO6 Student shall be able to estimate the values of population parameters from sample

statistics.

Detailed Syllabus

Introduction: Definition, nature, scope, and importance of strategy; and strategic

management (Business policy). The Strategic management model, Benefits of strategic

management.

Strategy Formulation: Vision and Mission statements, Importance, Characteristics and

components of Mission statement.

Environmental Appraisal: Concept of environment, components of environment

(Economic, legal, social, political and technological). Environmental scanning

techniques- ETOP, QUEST and SWOT (TOWS).

The external assessment, Economic forces, Technological Forces, Competitive forces

Competitive Analysis: Porters Five Force Model

The Internal Assessment: Integrating Strategy and culture, Management, Finance,

productions/ Operations, Research and Development, management Information System,

value Chain, Evaluation matrix.

Strategies in Action: objectives Types of Strategies, Integration Strategies, Intensive

Strategies, Diversification Strategies, Defensive Strategies, Defensive strategies.

Strategy Analysis and choice: Nature, Frame Work of strategy analysis and choice,

Input stage, matching stage, Decision stage.

Strategy implementation: Policies, Resource allocation, Managing Conflicts,

managing Resistance to change, Leadership and corporate culture, Values, Ethics and

Strategic control and operational Control. Organizational systems and Techniques of

strategic evaluation.

Recommended Text Books

1. Kazmi (2003), “Business Policy &Strategic Management”, Tata McGraw Hill

2. Thomson & Strickland (2004), “Strategic Management: Concept & Cases”, Tata

McGraw Hill

3. Ghemawat (2005), “Strategy & The Business Landscape”, Pearson Education Asia

4. Ghoshal, Piramal (2003), “World Class in India”, Penguin Publishers

5. Wheelen & Hungee (2002), “Strategic Management & Business Policy’, Addison-

Wesley

6. Pearce & Robinson (2003), “Strategic Management”, AITBS New York



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IP-526 Engineering Economy [3 0 0 3]

COURSE OBJECTIVE

This course will introduce various concepts and methods of economic analysis in

engineering, including the time value of money and its effect on economic decisions,

economic equivalence, economic measures of worth, cash flow analysis, equipment

depreciation, effects of inflation, decision making under uncertainty, capital budgeting,

replacement decisions, and benefit-cost analysis.

COURSE OUTCOMES


CO 1: The students will understand the basic concepts and terminology used in

Engineering Economics

CO 2: The students will be able to use the concepts of cash flows, time value of money

in evaluation of investments and other projects in real life.

CO 3: The students will be able to compare and evaluate alternatives based on present

worth, annual rate of return, and benefit over cost analyses.

CO 4: The students will be able to identify and analyses the impact of depreciation,

taxation and other economic factors on feasibility of real life projects.

CO 5: The students will be able to recognize the economic impact of engineering

solutions and Conduct sensitivity analysis on key compounding parameters, so as make

financially prudent decisions in everyday life.

DETAILED SYLLABUS

Section A

Engineering Costs – Fixed, Variable, Marginal & Average Costs, Sunk Costs, Opportunity Costs, Recurring and Nonrecurring Costs, Incremental Costs, Cash Costs vs Book Costs, Life-Cycle Costs.

Cash Flow & Rate of Return Analysis- Cash Flow and Cash Flow Diagrams, Time

Value of Money, Debt repayment, Nominal & Effective Interest; Cash Flow–

Calculations, Treatment of Salvage Value, Annual Cash Flow Analysis, Interest

formulae for Discrete compounding and discrete payments- Gradient Series factors,

Internal Rate of Return, Calculating Rate of Return, Future Worth Analysis, Benefit-

Cost Ratio Analysis, Cost Volume Profit Analysis, Break even analysis.

Section B

Inflation And Price Change – Types of Index, Price Change with Indexes, Use of

Price Indexes In Engineering Economic Analysis, Effect Of Inflation & Deflation,

Present Worth Analysis, Effect of Inflation on economic evaluations; Effect of taxation

on economic studies, income tax analysis, Uncertainty In Future Events - Estimates and

Their Use in Economic Analysis, Range Of Estimates, Probability, Joint Probability

Distributions, Expected Value, Decision making Process, Decision making under Risk

and uncertainty, Economic Decision Trees.

Depreciation - Basic Concepts, Depreciation Calculation Fundamentals, Basic methods of computing depreciation - Straight-Line Depreciation and Declining Balance Depreciation, Evaluations of depreciation methods.



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Section C

Replacement Analysis - Replacement Analysis Decision Map, Replacement due to deterioration (with and without time value of money), obsolescence, inadequacy, replacement of items that fail suddenly and completely; Individual and Group Replacement policies; Economic Life of cyclic replacements.

Accounting – Basic Accounting concepts and conventions, corporate financial statements- Trading account, Balance Sheet, Income Statement; Financial Ratios

TEXT BOOKS

1. James L.Riggs,David D. Bedworth, Sabah U. Randhawa : Economics for Engineers

4e , Tata McGraw-Hill.

2. Donald Newnan, Ted Eschembach, Jerome Lavelle: Engineering Economics

Analysis, OUP.

3. John A. White, Kenneth E.Case,David B.Pratt : Principle of Engineering Economic

Analysis, John Wiley.

4. Sullivan and Wicks: Engineering Economy, Pearson Education.

5. R.Paneer Seelvan: Engineering Economics, PHI.

6. Degarmo, Sullivan & Canada : Engineering Economy, Collier Macmillan

REFERENCE BOOKS

Michael R Lindeburg : Engineering Economics Analysis, Professional Pub

ONLINE RESOURSES

1. Engineering Economic Analysis, NPTEL course, Prof. Pradeep Kumar Jha,

Department of Mechanical & Industrial Engineering, IIT Roorkee,

nptel.ac.in/courses/112107209



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IP-527 Change Management [3-0-0-3]

COURSE OBJECTIVES

The course has been framed with the main objective of introducing the concept of

change and its management applicable to the organizations. The students shall be

imparted with the knowledge of various types of changes, reengineering, restructuring

and competitiveness.

COURSE OUTCOMES

CO1: The student shall be able to plan, organize and management change in the

organization.

CO2: The student shall be able to trigger change by choosing the appropriate driver

thro’ creative thinking.

CO3: The student shall be able to identify obstacles to change management and make

suitable strategy to remove them.

CO4: The student shall be able to identify and analyze stepped and radical changes in

the organization.

CO5: The student shall be able to use scientific tools and theories to estimate

competitiveness in an organization.

CO6: The student shall be able to act as change agent in an organization and design

the appropriate strategy to make the change.

DETAILED SYLLABUS

Introduction:

Concept of change, its need in the industry, indicators of organizational change,

concept of competitiveness, its relationship with change, impact of change on

competitiveness of an organization.

Perspectives on change:

The notion of environment, contingency perspective: specialization, integration,

resource dependence perspective, internal and external strategies to reduce dependence,

institutional perspective, results of these perspectives.

Types of change:

Continuous and discontinuous changes, re-invention, re-orientation and re-creation,

participative and directive changes, incremental change, radical change, dynamic

change.

Change Programme:

Parameters of change programme, forces of change, changes representing an

opportunity, change representing a threat, weak forces of change, change campaigning.

Change Process:

Concept of change agents, drivers of change, steps to successful change: assemble a

change team, establishing a vision and new direction for the organization, preparation

for change, setup of change teams to implement change, align structure, systems, and

resources to support change, identify and remove roadblocks, absorb changes in the

organizational culture.



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Specific change programmes:

Introduction to business process Re-engineering, lean production and lean thinking,

total quality management, choosing an appropriate change programme.

Change levers:

Introduction to various change levers: leadership, strategy, structure, human resource

management practices, technology, marketing, quality and costs, identifying various

issues of organizational change in Indian context.

Change as Organization Transformation:

Inducing transformational change, Organizational audit as a catalyst for change,

transforming mature organizations, Change acceleration process

Change tools:

SWOT analysis, SAP-LAP analysis, tinkering and kludging, Matrix of change, Delphi

study, Case studies.

Recommended Books

1. Nilakant V, and S. Ramnarayan, “Managing Organizational Change”, Response

Books, A division of sage Publications, London, 2000.

2. Johnson A Edosomwan, “Organizational Transformation and Process

Reengineering”, Kogan Page Limited, London, 2000.

3. Sushil, “Flexibility in Management”, Vikas Publishing House, New Delhi, 2001.

4. Bernard Burnes, “Managing Change”, Pitman Publishing Company, London, 1999.

5. John Storey, “Human Resourse and Change Management”, Blackwell Publishers,

UK, 1999.

6. Stephen P Robbins, “Organizational Behaviour”, Pearson Education, New Delhi,

2002.



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IP-528 Facilities Planning and Design [3-0-0-3]

COURSE OBJECTIVES

The main objective of this course is to enable the students to be trained in facilities

design related problems, especially in manufacturing systems, studying about strategies

of material handling & related equipment, and selection of site locations. It also aims to

explore the layout planning by computer applications using different algorithms.

COURSE OUTCOMES

CO 1: The students will be able to select appropriate location for establishing industrial

plants by applying the concepts of location selection.

CO 2: The students will be able to plan and design plant and production layouts through

basic strategies and with computer applications.

CO 3: The students will be able to identify and analyse the problems in the existing

layout/ material handling system and shall be able to the optimize the layout/ material

handling system

CO 4: The students will be able to develop algorithms for planning new layouts for

typical applications in the industries and suggest appropriate material handling

strategies in the industries.

Introduction: Concept of facilities, manufacturing industry, service industry, layout

problems, design process.

Plant location: Location problems, hierarchy of location problems, factors affecting

site location; factors in heavy manufacturing location, light industry location,

warehouse location, retail location. Various theories/models of site location like bid

rent curves, Weber’s isodapanes, Weber’s classification of industries, Hoover’s tapered

transport rates, agglomeration, factor rating method, single facility location, load-

distance model, break-even analysis, transportation method. Location of plant with

multi-plant operation, new plant location and shut down under dynamic conditions.

Process Layout: Types of flow patterns, types of layout, flow analysis approaches,

activity relationship analysis, factors affecting plant layout, relationship diagram, layout

procedures by Nadler, Immer, Apple and Reed. systematic layout planning, relationship

(REL) chart, traditional layout configuration, production space requirements, manual

CORELAP algorithm and examples, preparing process layouts and the considerations

thereon.

Product Layouts: basic features of mass manufacturing, advantages & disadvantages

of flow-line production, product-oriented layout – assumptions & types, assembly line

layout, assembly line balancing. Design of an assembly line, layout heuristics for

assigning tasks in assembly line balancing, assembly line balancing equations.

Computerized layout planning: Information is layout planning, computerized layout

evaluation based on adjacency based scoring, distance based scoring, distance weighted

adjacency-based scoring and more complex scoring models, construction and

improvement algorithms, ALDEP, CORELAP, CRAFT algorithms.

Quantitative layout analysis: Minimum product travel method, graphic approach, load

distance analysis, cost matrix analysis, travel cost technique, and operation sequence

analysis layout evaluation.



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Plant services and Auxiliary departments: Considerations about receiving area,

storage, warehousing, shipping, tool room and tool crib, plant services and employee

services.

Material handling: Concept relation of material handling with plant layout, material

handling equation, classification of material handling equipments, various types of

conveyors, hoists, craves, and mobile equipment.

Learning curves in services and manufacturing: Applying the learning curve,

arithmetic approach, logarithmic approach, learning - curve coefficient approach;

strategic implications & limitations of learning curves

TEXT BOOK(S)

1. Francis, McGinnis and White, “Facilities Layout & Location –an analytical

approach” Prentice Hall of India Pvt Ltd. 2001

REFERENCE BOOK(S)

1. James Apple, “Plant Layout & Material Handling”, The Ronalt Press Co., New

Delhi, 1998.

2. Richards Muther, “Practical Plant Layout”, McGraw Hill Book Co., New York,

1982.

3. Ronald H Ballou, “Business Logistics”, Pearson Education, Inc. New Delhi, 2004.

4. Tompkins J A & J A White, “Facilities Planning”, John Wiley & Sons, Inc. New

York, 1984

5. G.K.Aggarwal, “Plant Layout and Material Handling”, Jain Brothers New Delhi

(2000)

ONLINE RESOURSES

1. Industrial Engineering, NPTEL course by Prof. Pradip Kumar et al., Department of

Mechanical & Industrial Engineering, Indian Institute of Technology (IIT),

Roorkee, https://nptel.ac.in/courses/112107143/36


Department of Mechanical Engineering, Indian Institute of Technology,

Delhi , https://nptel.ac.in/courses/112102106/

https://nptel.ac.in/courses/112107143/36



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IP-529 Technology Management [3-0-0-3]

COURSE OBJECTIVES

After completion of this course the students will be exposed to the key concepts related

with Productivity Engineering and Technology Management. Students will understand

Productivity measurement and evaluation methods, identify weak productivity areas of

organizations, and Productivity improvement techniques. Students will also be exposed to

Technology Management and Technology Transfer concepts with a country and across the

countries.

COURSE OUTCOMES

CO1. The students will be able to apply the knowledge to understand Productivity of an

organization, evaluate it, and to find ways and means to improve it

CO2. Students will be able to design the systems for measuring total productivity/total

factor productivity/partial productivity in manufacturing and service sectors

CO3. Students will be able to set the targets for meeting productivity levels and in turn

improve the performance in different functional areas.

CO4. Students will be able to apply the knowledge and understand the role of technology

in economic development

CO5. Students will be able to lead teams for effective governance and developing

technology solutions either internally or through technology transfer from outside through

Licensing or joint ventures.

Technology management: Need for managing the technology, importance of

technology and its management, role of technology in economic development,

technological change in modern society.

Technology planning, technology forecasting, applications of technology forecasting

and its impact on business, technology life cycle and it’s importance.

Technology transfer: Technology transfer at macro and micro level, need for

technology transfer, modes of technology transfer, technology adaptation, factors

affecting technology adaptation, technology absorption, technology diffusion,

technology transfer agreements, negotiations in technology transfer, cultural

differences, introduction to re-engineering, characteristics of technology in developing

countries, role of R & D department in technology adaptation & development,

implementation of acquired technology.

Technology forecasting to support technological strategic and operational planning.

Elements of a forecasting process. Forecasting techniques based on time series models,

Precursor, Envelope curves and Experience curves. Technical assessment, Delphi

method, Qualitative techniques based on morphological analysis and technological gap

analysis. Organizing for Technology Forecasting. Technology in social context.

Technology assessment: Components, Social description, Forecasts. Impact

identification, Measures, Assessment. Strategies for assessment, Impact analysis.

Recommended Books:

1. Jones H. and Twiss B.C., “Forecasting Technology for planning decisions”,

Macmillan, (1978).

2. Porter A.L.,et.al., “A guide book for technology assessment and analysis series”,

Vol.4, North Holland, (1980)

3. Marinto J. P., “Technological Forecasting for Decision Making”, North Holland,

2nd Ed., (1993).

4. Fredrick Betz, “Technology Management”, McGraw Hill, 1990.

5. Coombs Rod & Richards Albert, “Technological Collaborations”, Edward Elgar

Publishing Ltd, 1996.



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IP-530 Product Analysis and Cost Optimization [3-0-0-3]

COURSE OUTCOMES


CO1: Understand the steps in Product design process and use of computer software for

the same.

CO2: Understand the process of Ideas generation for new products and converting the

same to detailed product specifications

CO3: To develop and run simulation models under different values of socio economic

factors

CO4: To develop cost optimized product solution by using different optimization

models.

DETAILED SYLLABUS

Product design process: Introduction, Importance of product design, Detail

description of design process, Organization for design, Computer Aided Engineering,

Designing to codes and standards. Considerations of good design, Product and process

cycle.

Product planning: Idea for new business activity, Idea finding, product policy. Strict

development; the technical development process and an iterative process, the

commercial development process, Product development as a whole.

Analysis: from Design problem to Design specification; Problem definition, Types of

objectives in design specification, Desirable properties of the design specifications,

making a design specification, Quality function deployment.

Simulation: Predicting the properties of a design; Introduction, The simulation process,

Simulation and prediction, Simulation models; Structure models, Iconic models,

Analogue models, Mathematical models, Simulation in product design; Technical

simulation, Ergonomic simulation, Business economic simulation, Social and ethical

simulation, Simulation of environment effects.

Cost Optimization of design: Need of optimization of preliminary design by

identification of design requirements and by use of appropriate design strategy.

Introduction to detail design optimization by simulation, prototyping and optimum

selection of configuration, materials and processes. Mechanical System Design problem

economic political environment, issues of human safety & welfare, and professional

ethics. Overview and application of optimization methods to machine elements and

mechanical system design. Prototyping, Optimum selection of material & processes in

mechanical design using material selection charts and optimization methods.

Optimizing product design functionality, aesthetics and economics by employing

industrial design principles and by suitable selection of material & processing including

use of polymers, composites and other nonmetallic materials.

Recommended Books

1. George E. Dieter, Engineering Design, Tata McGraw Hill publications.

2. NFM Rozenberg and J Eekels, Product design fundamental, Johan Willey

Publications.

3. Karl T Ulrich and Eppinger Steven D, Product design and development, Tata

McGraw Hill Publications.

4. Otto Kelvin and Wood Krista, Product design, Pearson Education, Delhi, 2001.

5. Bruce M and Copper Rachel, Creative product design, Johan Willey & sons Ltd.,

New York, 2000.



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IP-531 System Dynamics [3-0-0-3]

COURSE OUTCOMES

CO-1: To understand mental models in order to visualize the micro world concept and

related policies.

CO-2: To develop the conceptual framework based on various features of system

dynamics and assessment of them through their strength and weaknesses.

CO-3: To visualize the system dynamics modelling under operational and functional

issues in management.

CO-4: To develop the models for practical industrial implementations and assess based

on various system diagrams.

CO-5: Software based parametric simulation of developed models.

CO-6: Investigate the model behaviour and sensitivity analysis.

DETAILED SYLLABUS

Introduction: Nature of managerial and social systems, existing approaches, mental

models, learning and reasoning – micro world concept, impact of policies, justification.

Systems Dynamics Methodology: Historical development, foundations of systems

dynamics, philosophy of systems dynamics, conceptual framework, view points and

features of systems dynamics, flexibility in methodology, strengths and weaknesses.

Use of systems dynamics in managerial problems: Characteristics of managerial

problems matching systems dynamics modeling, top management problems, middle

management problems, operational management problems, functional management

problems, management support system.

Systems Dynamics Model: Definition, an example model, the manager’s dilemma,

nature of variables, diagramming aids, equations, feedback structures, dynamic

behavior, delays and smooths, functions.

Develop a systems dynamics model: Identification of problem situations, to carry out

situation analysis and prepare statement, selection of modeling approach, preparation of

a subsystem diagram, policy structure diagram, causal loop diagram, writing equations.

Checking of the principles: Principles of model boundary, order of the model,

coherence of feedback loops, level and rate relationships, principles of conservative

subsystem, principles of information subsystems, dimensional consistency, solution

interval.

Simulate and validate a system dynamics model: Parameters estimation,

initialization of levels, software packages for simulation.

Testing and analysis: Understanding model behavior, sensitivity analysis, model

refinement and reformulation, policy analysis with parameter changes and structural

changes, scenario building.

Recommended Books

1. Sushil (2002), System Dynamics- A practical approach for managerial problems,

Wiley Eastern Limited New Delhi.

2. Checkland P (1981), Systems thinking, systems practice, John Wiley and Sons,

New York.

3. Gould J M (1992), Artificial Intelligence: A tool for system dynamics, Russell

Sage Foundations, NY, USA.

4. Katsuhiko Ogata (2003), System Dynamics, MIT Press, Cambridge. 5. Sterman (2000), Business Dynamics: Systems Thinking and Modeling for a

Complex World, Irwin McGraw Hill Limited.



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IP-532 Advanced Computational Techniques [3-0-0-3]

COURSE OUTCOMES

CO1: The students will be able to understand the role of Artificial Intelligence and

knowledge base system in industrial sector.

CO2: The students will learn the implementation concepts of control structure for

various industrial problems.

CO3: The students will be able to learn the concepts of fuzzy set theory and its role in

considering the uncertainty or vagueness in the collected information.

CO4: The student will be able to learn the concepts of Graph theory in developing the

graph structure of the industrial models.

CO5: The student will be able to learn the various approaches for the tool and die design

under Neural Network concepts.

CO6: The student will be able to apply Genetic Algorithm approach for optimizing the

industrial objective functions under defined constraints.

DETAILED SYLLABUS

Introduction to Data Bases: Artificial Intelligence, Need for Knowledge based

systems in Mechanical Engineering. Representation of knowledge: Conceptual

dependencies, Semantic Networks, Frames, Production Systems. Object oriented Data

bases for Knowledge Based Systems. Application of mathematical programming

models in industrial engineering.

Control Structures: Exhaustive search, Pruning, Search methods. Methods of

Inference. Top down and bottom up approaches. Control structures with uncertainty.

Certainty factors.

Fuzzy Theory:. Machine learning. Knowledge Engineering: Languages and Tools for

Knowledge Engineering. Completeness and consistency in Rule-based systems. Fuzzy

numbers like triangular, trapezoidal etc. Expert system development. Expert system

support environment.

Graph Theory: Preference graph structure, diagraph development, graph coloring,

graph class explanation

Heuristics, meta-heuristics and hybrid algorithms; theory/practice of meta-heuristics,

new metaheuristic approaches

Neural Networks: Fundamentals of Parallel Processing. Hopfield Network. Artificial

Neural Networks. Application of Neural Networks: Inspection, Vision, Real-time

Process Control, Diagnostics of machines and multi-sensor integration, approaches to

die and tool design. Design compatibility analysis for simultaneous engineering.

Genetic Algorithms: Introduction, Difficulties with classical optimization algorithms,

Binary Genetic Algorithms, Non Recombinative and Recombinative, Parameter

control, Multimodal Function Optimization, Multiple Pareto Optimal Solutions,

Weight-Based GA, Non Dominated Sorting GA.

Recommended Books

1. Keer, R. Knowledge Based Manufacturing Management, Addison-Wesley, 1991.

2. Addis, T.T., Designing Knowledge Based System, Prentice Hall, 1985.

3. Rolston, D.W. Principles of Artificial Intelligence and Expert Systems

Development, McGraw-Hill, 1988.

4. Hung, P.W.H. and Lovergrove, G., Industrial and Engineering Applications of Al

and Expert Systems, Gordon and Breach Science Publ..

5. Maus, R. and Keyes, J., Handbook of Expert Systems in Manufacturing, McGraw-

Hill, 1991



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IP-533 Marketing Management [3-0-0-3]

COURSE OBJECTIVE

The objective of this course is to introduce the students with various aspects of

marketing as it plays as a major source of influence in every aspect of an Industrial

Engineers decision making and working.

COURSE OUTCOMES


CO1: solve the problems of the ultimate consumers more effectively

CO2: visualize design problems with market perspectives, leading to better product

development

CO3: comprehend the factors and mechanisms behind pricing decisions

CO4: find the solutions for Industrial problems with more effectiveness

CO5: participate and contribute in interdisciplinary problem solving teams at workplace.

DETAILED SYLLABUS

Marketing in the twenty first century: - Marketing Tasks, Company orientation

towards market place, Changes in the business and marketing methods in 21st century.

Strategic planning, implementation and control: - Corporate and division strategic

planning, Business strategic planning, marketing process, managing the marketing

process. SWOT Analysis

Consumer Behavior & Market Research: Factors affecting consumer behavior, stages

in purchasing, market research, market segmentation and target market selection.

Organizational Buying: Salient features, factors affecting organizational purchase

marketing mix, product, product levels, product hierarchy, product line, types of

distributions, Channel management decisions, product mix, product life cycle, procedure

for new product development, branding and packaging.

Developing, Differentiating and Product Positioning: - Challenges in new product

development, developing new products from ideas to strategies, Consumer adoption

process, marketing through product life cycle, brand decisions, packaging and labeling,

Brand Management

Market Segmentation :- Definition, Bases of segmentation, Evaluation and Targeting

Market Segments, Brand Positioning and Differentiation

Price: Pricing objectives, price elasticity of demand, methods of pricing, discounts,

discriminatory pricing.

Distribution: Need for middleman and their functions, vertical marketing system.

Managing retailing, wholesaling and marketing logistics: - Types of retailers,

ret6ailers marketing decisions, trends in retailing, Growth and types of wholesaling,

wholesaling marketing decisions, trends in wholesaling, market logistics objectives and

decisions.

Promotion Mix: Advertising, media selection, frequency and timing of advertisement,

steps in developing effective communication, sales promotion, personal selling,

publicity.

Sales Force Management: Recruitment, training, motivating sales representatives,

controlling and evaluating.



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Services Marketing: - Definition, Difference between goods and services marketing,

promotion mix for services, growth of service sector, impact of technology.

Recommended Books

1. Winer Russel S, “Marketing Management”, Prentice Hall of India, 1998.

2. Guilitinan Joseph P , Gordon W Paul and Thomas J Maddaen, “Marketing

Management: Strategies and Programs”, Mc Graw Hill Publication, 1996.

3. Dolan Robert J, “Marketing Management: Text & Cases”, McGraw Hill

Publication, 2000.

4. Lamb Charles W and McDaniel Carl D., “Marketing”, SouthWesternCollege

Publication, 2004.

5. Kotler Philip, “Marketing management Analysis, Planning & Control”, Pearson

Education Asia,2002.

6. Zeithmal&Bitner “ Services Marketing “ Tata Mcgraw Hill Publishing Company

Limited New Delhi, Third Edition

ONLINE RESOURSES

1. Dr Jayanta Chatterjee (IIT Madras) & Dr Shashi Shekhar Mishra (IIT Madras),

Marketing Management-I https://nptel.ac.in/courses/110104068/

2. Dr Jayanta Chatterjee (IIT Madras) & Dr Shashi Shekhar Mishra (IIT Madras),

Marketing Management-II https://nptel.ac.in/courses/110104070/

http://www.iitkgp.ac.in/fac-profiles/showprofile.php?empcode=ZZmVV&depts_name=CS




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IP-534 PRODUCT DESIGN AND VALUE ENGINEERING [3 0 0 3]

COURSE OBJECTIVES

The course aims at providing the basic concepts of product design, product features and

its architecture so that student can have a basic knowledge in the common features a

product has and how to incorporate them suitably in product.

CORSE OUTCOMES

The student will be able to design some products for the given set of applications; also

the knowledge gained through prototyping technology will help the student to make a

prototype of a problem and hence product design and development can be achieved.

DETAILED SYLLABUS

Value Engineering Basics

Origin of Value Engineering, Meaning of value, Definition of Value Engineering and

Value analysis, Difference between Value analysis and Value Engineering, Types of

Value, function - Basic and Secondary functions, concept of cost and worth, creativity

in Value Engineering.

Value Engineering Job Plan and Process

Seven phases of job plan, FAST Diagram as Value Engineering Tool, Behavioral and

organizational aspects of Value Engineering, Ten principles of Value analysis, Benefits

of Value Engineering.

Identifying Customer Needs and Product Specifications

Product Development process – Product development organizations. Gather raw data –

Interpret raw data- organize the needs into a hierarchy – Relative importance of the

needs. Specifications – Refining specifications.

Concept Generation, Selection and Product Architecture

Clarify the problem – Search internally – Search externally – Explore systematically.

Concept Screening – Concept scoring. Product architecture – Implication of

architecture – Establishing the architecture – Related system level design issues.

Industrial Design, Prototyping And Economics Of Product Development

Need for industrial design – Impact of industrial design – Industrial design process –

Management of industrial design process – Assessing the quality of industrial design.

Estimate the manufacturing cost – Reduce the component cost – Reduce the assembly

cost – Reduce the support cost – Impact of DFM decisions on other factors. Principles

of prototyping – Planning for prototypes. Elements of economic analysis – Base – Case

financial model – Sensitivity analysis – Influence of the quantitative factors.

TEXT BOOKS

1. Karal, T.Ulrich Steven D.Eppinger, “Prodcut Design and Development”, McGraw

Hill, International Editions, 2003.

2. Mudge, Arthur E. “Value Engineering”- A systematic approach, McGraw Hill,

New York, 2000.

REFERENCE BOOKS

1. S.Rosenthal, “Effective Product Design and Development”, Irwin, 1992.

2. Charles Gevirtz, “Developing New products with TQM”, McGraw Hill,

International Editions, 1994.

ONLINE RESOURSES

1. Product design and Development, NPTEL course, Prof. Inderdeep Singh,

Department of Mechanical and Industrial Engineering Indian Institute of

Technology (IIT), Roorkee. https://onlinecourses.nptel.ac.in/noc17_me16/preview

https://onlinecourses.nptel.ac.in/noc17_me16/preview



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IP-535 Computer Aided Process Planning [3-0-0-3]

COURSE OUTCOMES

CO-1: To impart the general knowledge about process planning with traditional and

non-traditional process plans.

CO-2: To know the importance of production flow in order to enhance the productivity

of an organization.

CO-3: Understanding of data system optimization for various cutting conditions.

CO-4: To encounter the issues related to planning, modelling of design strategies in

order to enhance process capability.

CO-5: To incorporate the loading and scheduling plan for making idle time free

interface among the various stages.

CO-6: Understanding the significance of different case studies based on process

planning.

DETAILED SYLLABUS

Introduction: traditional process planning, product design evaluation, various steps in

process planning. Group Technology: Introduction, advantages, part families,

classification and coding systems, production flow analysis, design of machine cells.

Concepts Related to Process Planning: Machinability data system, cutting condition

optimization.

Automated Process Planning: Advantages of automated process planning, various

approaches to process planning; Variant process planning, its features and different

stages, different variant systems; Generative and semi-generative process planning, its

features, design strategies, planning, modeling and coding scheme, decision

mechanisms; Process capability analysis, intelligent process planning system; Artificial

intelligence -- overview and application in process planning; Various recent process

planning systems; Case studies.

Interfaces of Process Planning: Integrating with loading, scheduling, MRP II, and

capacity planning and other shop floor functions.

Reference Books:

1. Chang, T. C. and Wysk, R. A, (1985) “An Introduction to Automated Process

Planning”, Prentice-Hall.

2. Gallagher, C. C and Knight, W. A., (1986) “Group Technology: Production

Method in Manufacturing”, Ellis Horewood.

3. Nilsson, N. J., (1982) “Principles of Artificial Intelligence”, Springer Verlag.

4. Cornelius, L.T, (2003) “Computer Aided and Integrated Manufacturing Systems:

Manufacturing Processes”, World Scientific Publishing Company.



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IP-536 Design and Analysis of Experiments [3-0-0-3]

COURSE OUTCOMES

CO-1: To understand the terminology related to planning of experiments.

CO-2: To calculate the appropriate level of variables and existing experimental errors.

CO-3: Understanding and implementation of randomized experiment design under

different situations.

CO-4: To perform the analysis in order to solve the real problems by using Newman

Kuel’s test, Duncan’s Multiple Range test, etc.

CO-5: To decide the level for variables in order to perform the factorial design

analysis.

CO-6: To know the significance of Quality Loss Function and analyse the model using

orthogonal array.

DETAILED SYLLABUS

Introduction- Planning of experiments – Steps – Need, Terminology: Factors, levels,

variables, experimental error, replication, Randomization, Blocking, Confounding.

Single Factor Experiments- ANOVA - Sum of squares – Completely randomized

design, Randomized block design, effect of coding, Comparison of treatment means –

Newman Kuel’s test, Duncan’s Multiple Range test, Latin Square Design.

Factorial Experiments-Main and interaction effects –Two and three Factor full factorial

Designs, 2k designs with Two and Three factors- Yate’s Algorithm

Special Experimental Designs- Blocking and Confounding in 2k design Taguchi

Techniques- Fundamentals of Taguchi methods, Quality Loss function, orthogonal

designs, application to Process and Parameter design.

Recommended Books

1. Montgomery, D.C. “Design and Analysis of Experiments”, John Wiley and Sons,

5th

Edition,2002.

2. Hicks,C.R. “Fundamental concepts in the Design of Experiments”, Holt, Rinehort

and Winston, 2000.

3. Bagchi, T.P. “Taguchi Methods explained”, PHI, 2002.

4. Ross, P.J. “Taguchi Techniques for quality Engineering”, Prentice Hall, 2000.



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IP-537 Enterprise Resource Planning [3-0-0-3]

COURSE OUTCOMES


CO1: Understand concepts of Integrated Management Information, Integrated Data

Model, Business Process Reengineering (BPR), Data Warehousing, Data Mining,

OLAP, and SCM.

CO2: Develop an ability to facilitate EWRP implementation in an organization.

CO3: Understand the working of different Modules of ERP.

CO4: Understand the working of different ERP packages available in the market.

DETAILED SYLLABUS

Introduction to ERP: Enterprise – An Overview, Integrated Management Information,

Business Modeling, Integrated Data Model, Benefits of ERP, ERP and Related

Technologies, Business Process Reengineering (BPR), Data Warehousing, Data

Mining, OLAP, SCM.

ERP Implementation: ERP Implementation Lifecycle, Implementation Methodology,

Organizing the Implementation, Vendors, Consultants and Users, Contracts with

Vendors, Consultants and Employees, Project Management and Monitoring.

ERP Modules: Business Modules- Manufacturing, Materials Management, Finance,

Plant Maintenance, Quality Management, Human Resources and Marketing.

ERP Market: ERP Market Place, SAP AG, PeopleSoft, Baan, JD Edwards, Oracle,

QAD, SSA, Enterprise Integration Applications (EIA), ERP and E-Commerce, ERP

and Internet.

ERP Present and Future: Future Directions and Trends in ERP.

Recommended Books

1. Alexis Leon, “ERP demystified”, Tata McGraw–Hill publishing company Ltd.,

New Delhi, 2002.

2. Brady, “Enterprise Resource Planning”, Thomson Learning, 2001.

3. S.Sadagopan, “ERP: A Managerial perspective”, Tata McGraw–Hill publishing

company Ltd., New Delhi, 1999.

4. Vinod Kumar Garg and Venkitakrishnan N K, “Enterprise Resource Planning –

Concepts and Practice”, PHI, New Delhi, 2003.

5. Mary Sumner, “Enterprise Resource Planning”, Pearson Education, 2007.



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IP-538 Advanced Optimization Techniques [3-0-0-3]

COURSE OBJECTIVES

The course aims at building capabilities in the students for analyzing different

situations in the industrial/ business scenario involving limited resources and finding

the optimal solution within constraints by using advanced optimization tools.

COURSE OUTCOMES

CO1. The students will be able to analyze the real life systems with limited

constraints

CO2.The students will be able to depict the systems in a mathematical model form.

CO3.The students will be to solve the mathematical model manually as well as using

soft resources/software such as solver, TORA etc. under the given constraints

CO4. Understand variety of real industrial problems such as resource allocation,

production planning, assignment, transportation, travelling salesman etc. and solve

these problems using linear programming approach using software

Introduction: Engineering Applications of Optimization, Statement of an Optimization

Problem Classification of Optimization Problems.

Classical Optimization Techniques: Single-Variable Optimization - Multivariable

Optimization with No Constraints - Multivariable Optimization with Equality

Constraints- Multivariable Optimization with Inequality Constraints- Transportation

Nonlinear Programming I: 1D Minimization Methods - Unimodal Function,

Elimination Methods-Unrestricted Search, Exhaustive, Dichotomous Search- Interval

Halving Method Fibonacci Method- Golden Section Method, Interpolation Methods -

Quadratic, Cubic Interpolation Method - Direct Root Methods -Newton Method-Quasi-

Newton, Secant Method

Nonlinear Programming II: Unconstrained Optimization Techniques -Direct Search

Methods, Indirect Search (Descent) Methods

Non-linear Programming III: Constrained Optimization Techniques- Direct Methods-

Indirect Methods, Geometric Programming, Dynamic Programming, Integer

Programming -Integer Linear Programming - Stochastic Programming.

Metaheuristics: Introduction to metaheuristics, Space and time complexity, Genetic

Algorithms, Tabu search, Simulated annealing, Introduction to multicriteria decision

making

Recommended Books:

1. Kalyanmoy Deb, “Optimization for Engineering design – algorithms & examples”,

PHI, NewDelhi, 1995.

2. SingiresuS.Rao, “Engineering optimization – Theory and practices”, John Wiley

and Sons,1998.

3. Garfinkel, R.S. and Nemhauser, G.L., “Integer programming”, John Wiley & Sons,

1972.



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IP-539 Sustainable Manufacturing [3-0-0-3]

COURSE OUTCOMES

CO-1: To understand the concept of sustainable development with their physical

significance in manufacturing as well as in general life situations.

CO-2: To know the role of corporate social responsibility with its industrial clause.

CO-3: To understand the role of quality function deployment in manufacturing of a

new product under sustainable roof.

CO-4: To know the impact of R3 and R6 cycles in enhancing the environmental

standards and on other relevant sustainable parameters.

CO-5: To visualize the set-up parameters for designing a recycling system and

assessment of that using various analytical methods to know its robustness.

CO-6: Development and assessment of different frameworks related to social,

economical and environmental indicators.

DETAILED SYLLABUS

Concepts of sustainability and sustainable development – Need for sustainable

development - Components of sustainability- Social, Economic, Environmental

dimensions - Linkages between technology and sustainability - Sustainable

Manufacturing –Scope, Need and Benefits.

Tools and Techniques of Sustainable Manufacturing – Environmental Conscious

Quality Function Deployment, Life cycle assessment, Design for Environment, R3 and

R6 cycles, Design for Disassembly -Sustainable Product Development – Various

Phases.

EIA Methods –CML, EI 95 and 99, ISO 14001 EMS and PAS 2050 standards,

Environmental Impact parameters - Interactions between energy and technology and

their implications for environment and sustainable development.

Design for recycling – Eco friendly product design methods – Methods to infuse

sustainability in early product design phases – Multi-Criteria Decision Making in

Sustainability, Types, Approaches, Steps, Tools, Applications, Case Studies on MCDM

methodologies.

Frameworks for measuring sustainability- Indicators of sustainability – Environmental,

Economic, Societal and Business indicators - Concept Models and Various Approaches,

Product Sustainability and Risk/Benefit assessment– Corporate Social Responsibility.

Recommended Books:

1. G. Atkinson, S. Dietz, E. Neumayer, ― “Handbook of Sustainable

Manufacturing”. Edward Elgar Publishing Limited, 2007.

2. D. Rodick, “Industrial Development for the 21st Century: Sustainable

Development Perspectives”, UN New York, 2007.

3. Rogers, P.P., Jalal, K.F. and Boyd, J.A., “An Introduction to Sustainable

Development”, Earth scan, London, 2007.

4. P. Lawn, “Sustainable Development Indicators in Ecological Economics”, Edward

Elgar Publishing Limited.

5. S. Asefa, “The Economics of Sustainable Development”, W.E. Upjohn Institute for

Employment Research, 2005.



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IP-540 Knowledge Based Decision Support System [3-0-0-3]

COURSE OUTCOMES


CO1: Learn about various Drivers of knowledge management and Intellectual capital

CO2: Understand different components of DSS like Data warehousing, Data mining,

modeling and analysis

CO3: Understand term Intellectual Property Rights and its importance in today’s world.

CO4: Understand the basics of Artificial intelligence and expert systems

DETAILED SYLLABUS

Knowledge society- Drivers of knowledge management-Intellectual capital- KM and

learning organizations-Strategic alignment- Evaluation and strategic alignment

Infrastructural development and deployment- Role of CKO-Analyzing business

environment knowledge

Audit and analysis – designing KM team, system–Technology components- Intranet

and Groupware solutions- tools for collaborative intelligence

Social networking-package choices- knowledge security-Integrating with web -based

and internal operational & support systems- change management- reward systems-

continuous improvement – Intellectual Property Rights.

DSS components- Data warehousing, access, analysis, mining and visualization-

modeling and analysis-DSS development

Group support systems- enterprise DSS- supply chain and DSS-knowledge

management methods, technologies and tools

Artificial intelligence and expert systems- Representation in logic and schemas,

semantic networks, production rules and frames, inference techniques – DSS

applications

Recommended Books:

1. Guus Schreiber, Hans Akkermans, “Knowledge Engineering and Management”,

Universities

2. Press, 2004

3. Elias M.Awad & Hassan M. Ghaziri, “Knowledge Management”, Pearson

Education, 2004

4. Efraim Turban and Jay E Aronson, Decision Support and Intelligent Systems,

Pearson education

5. Asia, Seventh edition, 2005

6. Elain Rich and Kevin Knight, Artificial intelligence, TMH, 2006

7. Vicki L. Sauter, Decision Support Systems for Business Intelligence John Wiley &

Sons. Turban,

8. Decision Support And Business Intelligence Systems, 8/E, Pearson Education

India, 2011

9. Frada Burnstein, Clyde W. Holsapple., Handbook on Decision Support Systems

Springer, 2008



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IP-541 Financial Management and Accounting [3-0-0-3]

COURSE OBJECTIVES

This course will introduce various concepts and methods of economic analysis in

engineering, including the time value of money and its effect on economic decisions,

economic equivalence, economic measures of worth, cash flow analysis, equipment

depreciation, effects of inflation, decision making under uncertainty, capital budgeting,

replacement decisions, and benefit-cost analysis.

COURSE OUTCOMES

CO 1: The students will understand the basic concepts and terminology used in

engineering economics.

CO 2: The students will be able to use the concepts of cash flows, time value of money

in evaluation of investments and projects in real life

CO 3: The students will be able to compare and evaluate alternatives based on present,

annual, rate of return, and benefit over cost analyses

CO 4: The students will be able to identify and analyse the impact of depreciation,

taxation and other economic factors on feasibility of real life projects.

CO 5: The students will be able to recognize the economic impact of engineering

solutions and Conduct sensitivity analysis on key compounding parameters, so as make

financially prudent decisions in everyday life.

DETAILED SYLLABUS

Nature and Scope of Financial Accounting: Meaning and Development of

Accounting, Functions of Financial Accounting, Accounting Principles, Concepts and

Conventions, Limitations of Financial Accounting, Making Financial Accounts useful

to Management.

Financial Statements: Accounting cycle: Journal, Ledger, Cash book, Trial balance,

Trading and Profit and Loss A/c and Balance Sheet, Use and importance of Financial

Statements, Limitations of Financial statements.

Ratio Analysis: Meaning and nature of Ratio Analysis, Use and significance of Ratio

Analysis, Limitations of Ratio Analysis, Classification of ratio, Test for short-term

financial position: Current liquid and Absolute liquid ratios, Efficiency and Activity

ratios: Stock turnover, Debtor turnover Ratio, Average collection period, creditors

turnover ratio, Average Payment Period, Test of solvency: Debt-Equity ratio, Equity

ratio, Solvency ratio, and Net Worth ratio, Profitability ratios: Gross profit, Operating

Expenses, Net profit and operating profit ratios, Return on Investment and Earnings Per

Share.

Statements of changes in Financial Position: Fund flow statement, Cash flow

statement.

Corporate Finance: Meaning, Evolution and importance of corporate finance,

Approaches of finance function, contents of finance function, Relationship of finance

with other business functions, financial divisions, and functions of Finance Manager.

Sources of Finance: Classification of sources of finance, Security financing,

Ownership securities, Equity Shares, Preference Shares, Deferred Shares, Debentures

and Retained Earnings, Depreciation as source of funds, factoring, commercial banks,

public deposits, lease financing and mutual funds.



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Working Capital Management: Meaning, concept and classification of working

capital, Needs and objectives of working capital, Disadvantages of inadequate and

redundant working capital, Principles of working capital management, Estimation of

working capital requirements, Financing of working capital.

Control of Capital Issues: Securities and Exchange Board of India (SEBI), SEBI Act

1992, Purpose of SEBI Act, Powers and functions of SEBI, Guidelines issued by

SEBI(inclusive of recent modifications), Evaluation of SEBI, Limitations of SEBI.

Capital Budgeting: Introduction to investment, types of investment decisions, Factors

affecting investment decisions, Traditional techniques of capital budgeting: Payback

Period and Average Rate of return methods, Modern techniques of capital budgeting:

Net Present Value and Internal Rate of Return methods Capital Rationing.

Recommended Books: 1. Pandey, I M “Financial Management”, 8

th Ed., Vikas Publishing House, New Delhi.

2. Sharma R K, Gupta, Shashi K “Management Accounting”, 9th revised edition, Kalayani

Publishers, New Delhi.

3. James C Van Horne, “Financial Management and Policy” 11th edition, Prentice Hall of

India

4. Fred R Kren, “Corporate Finance: Concepts and Policies”, Blackwell Business, Oxford

(UK)



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IP-542 Energy and Environment [3-0-0-3]

COURSE OBJECTIVES

To impart basic knowledge to the students about current energy scenario, energy

conservation, audit and management. To inculcate among the students systematic

knowledge and skill about assessing the energy efficiency, energy auditing and energy

management.

COURSE OUTCOMES

CO1. Students will be able to apply the knowledge of the subject to calculate the

efficiency of various thermal utilities.

CO2. Students will be able to design suitable energy monitoring system to analyze and

optimize the energy consumption in an organization.

CO3. Students will be able to improve the thermal efficiency by designing suitable

systems for heat recovery and cogeneration.

CO4. Students will be able to use the energy audit methods learnt to identify the areas

deserving tighter control to save energy expenditure.

CO5. Students will be able to carry out the cost- benefit analysis of various investment

alternatives for meeting the energy needs of the organization.

CO 6. Students will be able to guide the employees of the organization about the need

and the methods of energy conservation

DETAILED SYLLABUS

Introduction to Global Energy Scenario : Global Energy Requirements , Depletion of

Conventional Energy Resources, Need & Availability of Renewable Energy resources,

Fallouts of Energy Usage, Application of Carbon Credit. Renewable Energy systems.

Energy Analysis and Thermodynamics : Fundamentals of Thermodynamics

(Relationship Between Heat and work) The First Law, The Second Law, Carnot Cycle,

Rankine Cycle, Energy Balance ( Heat Balance for Steam Process), Energy Balance of

Steam Generator.

Energy Analysis of ‘Real’ Industrial Systems Factories: Process System

Optimization, Electrical System Optimization, Cogeneration, Heating Ventilation and

Air Conditioning Systems, Principles of Heat Transfer.

Energy Analysis of Real Industrial Systems Transportation Systems: Energy

Conservation in Transportation (Pattern of Energy Consumption, Emission Targets for

Transportation), New Technologies, Progress in Clean Diesel Technology (Areas of

Improvement, Fuel, Engine, Exhaust Systems, Cleaning the Tail Pipe).

Energy Analysis of Real Industrial Systems- Buildings: Energy Consumption in

Buildings, Construction Cost Vs Life Cycle Cost, Building Design- Walls and Roof,

Heating Ventilation and Air Conditioning (HVAC) Systems, Water Supply Systems,

Lighting Systems, Building Data Loggers and advanced Controls, The Energy

Conservation Act 2001, National Building Code of India 2005.

Principles And Objectives of Energy Management: Introduction, Energy Planning,

Energy Staffing, Energy Organization , Energy Requirement, Energy Costing, Energy

Budgeting, Energy Monitoring, Energy Consciousness Energy Conversions, Energy

Efficient Equipment, Energy Management Professionals, Environment Pollution due to

Energy Use (Components of Pollution, Harmful Effects of Pollution, Measures Taken

to Combat Pollution, Possible Future Measures), Evaluation of alternative Energy

Sources).



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Design of Energy Management Programmes: Saving Energy and Implementation of

Energy Conservation, Principles of Energy Management, Need for Energy

Management Programme, Agenda for Organization Structure, Role of Energy Manager

/ Plant Engineer, Implement Energy Conservation Actions, Continuing Energy

Conservation Efforts.

Procedures for Energy Analysis and Audit: Categories of Energy Audit, Types of

Energy Audit, Ventilation Audit, Measuring and Detection Instruments for Energy

Survey, Scope of Energy audit.

REFERENCES

1. Fay, James A. and Dan S. Golomb, Energy and The Environment, Oxford

University Press, New York, 2002.

2. Mori, Y.H. and K. Ohnishi, Eds, Energy and Environment Technological

Challenges for the Future, Springer-Verlag, New York, 2001.

3. Allenby, Braden, Technology and Environment in the Age of Humans, Island

Press, Washington, D.C., 2005.

4. Jeong, Howon, Globalization and the Physical Environment, Chelsea House

Publishers, Philadelphia, 2006.

5. Snedden, Robert, Energy Alternatives, Heinemann Library, Chicago, IL, 2002.

6. Nevena Lordanova, Ven. V. Venkatesau and Michael Calogero, World

Engineering Congress.



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IP-543 Occupational Health and Safety Management [3-0-0-3]

COURSE OBJECTIVES

The main objective of this course is to make the students aware of occupational health

and safety issues in the industries, environmental laws, safety management laws and

their applications. The course also outlines the conventional and advanced strategies for

occupational protection, and occupational health assessment methods.

COURSE OUTCOMES

CO1. Students will understand the basic laws related to environmental and safety

management in the industries.

CO2. Students will be able to formulate and implement new strategies for assuring

health and safety issues in the industries.

CO3. Students will learn the compliance requirements for the industries as per the

existing regulations such as Factory Act.

CO4. Students will be able to make appropriate decisions for w.r.t. factors affecting

occupational health.

CO5. Students will be able to create awareness the humans during assessment of health

hazards in their working environment

CO6. Students will be able to contribute towards making efficient and more

comfortable occupational Environment.

DETAILED SYLLABUS

Introduction: Concept of Occupational safety & Health, Importance of Occupational

Safety & Health, Relationship between safety, health and productivity, Safety Triangle.

Safety: Influence of Plant layout & Design, Equipment Design, Workplace design on

Safety, Industrial Accidents- types and causes, Cost of Accidents – Cost Analysis,

Systems Safety Analysis- methods and Techniques.

Noise & vibrations: Physics of Sound, Physiology of Hearing, Acceptability Criterion,

Noise Measurements, Control of Noise Exposure, Hearing Conservation Programs,

Vibration in workplace- measurement & Control.

Hot & Cold Environments: Introduction, Physiology of Thermoregulation,

Mechanisms of Thermal Exchange, Measuring Thermal Environment, Heat Stress

Indices, Heat Exposure Limits, Assessing Environmental Strain, Controlling Thermal

Exposure.

Design of Local Exhaust system and general ventilation system.

Industrial Illumination: Need for lighting, relationship between illumination- safety,

performance & Health. Natural & Artificial lighting sources, Characteristics of artificial

lighting sources, quantity and quality of illumination, IES procedure for calculating

optimum lighting requirement, recommended illumination standards for various

industrial tasks.

Books Recommended:

1. Grimaldi J V, “Safety Management- 5th

Edition”, AITBS Publishers, Delhi, (2006).

2. McCormick J, “Human Factors in Engineering & Design- 7th

Edition”, McGraw

Hill Publishing Company limited (1992).

3. Salvator R Dinardi- Editor, “The Occupational Environment- Its Evaluation,

Control and Management”, AIHA Press, Fairfax, Virginia, (2003).

4. David Goetch, “The Safety and Health Handbook”, Pearson Education, (1999).



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IP-544 Data Structures and Programming Methodology [3-0-0-3]

COURSE OUTCOMES


CO1: Understand different elementary data types and structures in C

CO2: Use Pointers, Linked lists in C, methods of insertion and deletion from a linked

list

CO3: Understand various types of Data representations

CO4: Understand and use different types of search algorithms

DETAILED SYLLABUS

Introduction to Abstract Data Types and analysis of different algorithms: Review

of elementary data types and structures in C. The Array data type and the importance of

Random Access, Searching an array: linear and Binary search. Sorting: Merge Sort, and

analysis

ADT Array -- searching and sorting on arrays: Review of Pointers in C. The Linked

list ADT, Searching a linked list, inserting and deleting from a linked list. Application:

representing a univariate polynomial, and adding two univariate polynomials

ADT Linked Lists, Stacks, Queues: List manipulation algorithms: reversal of a list,

use of recursion to reverse/search. Doubly linked lists, circular linked lists, Stack and

Queue ADT, comparison of implementation using arrays and linked lists

Binary Trees: Tree ADT representation, traversal, application of binary trees in

Huffman coding, Introduction to expression trees: Recursive traversal depth, height,

and number of nodes. post/pre/infix notation.

Dictionary: Binary search trees search, insertion and deletion, Balanced binary search

trees.

ADT Priority queues: Heap ADT implementation and Heapsort, in place sorting,

Heaps for maintaining interval trees.

Graphs: Representations or relations using matrices. The Graph ADT and applications,

Transitive closure, Flyod Warshall's algorithm and applications connectivity and

spanning trees.

Advanced topics: Adj. List representation of a Graph. Breadth First Search traversal

and identification of shortest paths, Depth First Search recursive specification and

application to finding articulation points.

Books Recommended:

1. Silberschatz A, Korth H F, and Sudarshan S, “Database System Concepts”, Fourth

Edition, McGraw Hill, India, 2002.

2. Mairo M M, ”Digital Design”, Pearson Education (Singapore) Private Limited,

Third edition, First Indian Reprint, 2002.

3. Paul J and Paul S, “An Introduction to Data Structures with Applications”,

McGraw Hill.

4. Kanetkar Y, “Let us C”, BPB publication, 2003.

5. Kamthane A K, “Object Oriented Programming with ANSI & Turbo C++”,

Pearson Education (Singapore) Private Limited, First Indian Print, 2003.

ONLINE RESOURSES

1. Dr P .P .Narayanaswamy (IIT Madras) , Programming and Data Structures





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IP-545 Computer Aided Decision Systems [3-0-0-3]

COURSE OUTCOMES

CO-1: To impart the general knowledge about process planning with traditional and

non-traditional process plans.

CO-2: To know the importance of production flow in order to enhance the productivity

of an organization.

CO-3: Understanding of data system optimization for various cutting conditions.

CO-4: To encounter the issues related to planning, modelling of design strategies in

order to enhance process capability.

CO-5: To incorporate the loading and scheduling plan for making idle time free

interface among the various stages.

CO-6: Understanding the significance of different case studies based on process

planning.

DETAILED SYLLABUS

Decision making systems, modeling, and support basis concepts and methodologies

static and dynamic models, techniques, constructing a DSS concepts and methods,

examples, DSS development tools, illustrative DSS applications, executive information

and support system.

Information needs, software and hardware, integrating EIS and DSS, executive

workstations, implementation aspects, applied artificial intelligence defections, basis

concepts, robotics and computer vision, fundamental of expert system, knowledge

acquisions, knowledge presentation and interfering, building expert systems, process,

tools and strategies, concepts, capability and design issues, exercises, case studies, user

interfaces, management support systems, integrations, implementing MSS,

organizational and societal impacts of MSS, failure of MSS.

Books Recommended:

1. Efren G.Mallach, “Decision Support and Data Warehouse Systems,” Tata McGraw

Hill, 2001.

2. DSS & Intelligent Systems by Efrain Turban, Jay E. Aroson, Pearson Education,

2002.

3. Michael W-Davis, “Applied Decision Support,” Prentice Hall, 2002.

4. R.Jaya Shankar, ”Decision support systems,” Tata McGraw Hill, 2002.

5. Sprague and Watson,” Decision Support Systems: Theory and Practice,” PHI,

2002.

6. J.L Bennett, “Building Decision Support system,” Addison Wesley Publications,

2002.



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IP-551 COMPUTER AIDED DESIGN [3-0-0-3]

COURSE OUTCOMES

At the end of the course, students will be able to:

CO1. Define the principles of optimum design

CO2. Apply surface modeling techniques.

CO3. Analyze production systems at operation level

DETAILED SYLLABUS

An Introduction to CAD, Computer Aided Design, Computer Aided Manufacturing,

What is CAD/CAM, Input Output Devices, Raster Graphics

Polygon Filling, Windowing and Clipping, Clipping of Polygons,

2D Transformations, 3D Transformations and Projection, Perspective Projections,

Projections and Hidden Surface Removal, Hidden Surface Removal,

Modeling of Curves, Modeling of B-spline Curves, Surface Modeling, Display of

Curves and Surfaces, Solid Modeling, Solid Modeling Using Octrees,

Parametric Cubic Curve, Parametric Bezier Curve, Solid Modeling, Geometric &

Product Data Exchange, Reverse Engineering

Computer Aided Modular Fixture Design

TEXT BOOKS

1. Mortenson, M E, Geometric Modelling, John Wiley and Sons, NY, 1991.

2. Donald Hearn, M Pauline Baker, Computer Graphics, Third Edition, Prentice-Hall,

1994

3. Faux, I D and Pratt, M J, Computational Geometry for Design and Manufacture,

John Wiley and Sons, NY, 1979.

4. Groover M P, “Automation, Production System and Computer Aided Manufacture”,

Prentice Hall, 1984.

5. Ibrahim Zeid, “CAD/CAM Theory and Practice”, McGraw-Hill, 1991.

REFERENCE BOOKS

1. Radhakrishnan P & Kothandaraman C P, “Computer Graphics and Design”,

Dhanpat Rai & Sons, 1990.

2. Stover R, “An analysis of CAD/CAM application with Introduction to CIM”,

Prentice Hall Inc., Englewood Cliffs, NY, 1984.

3. Leondes Cornelius T, “Computer Aided and Integrated Manufacturing Systems

World Scientific”, 2003.

4. William M Newman & Robert Sproul, “Principle of Interactice Computer

Graphics”, McGraw Hill, 1984.

ONLINE RESOURSES

1. Computer Aided Design and Manufacturing, NPTEL course, Prof. Anoop Chawla

and Prof. P.V. Madhusudan Rao, IIT Delhi: https://nptel.ac.in/courses/112102101/

2. Computer Aided Engineering Design, NPTEL course by Prof. Anupam Saxena, IIT

Kanpur: https://nptel.ac.in/courses/112104031/





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IP-553 INDUSTRIAL ROBOTICS (3- 0- 0 -3)

COURSE OUTCOMES


CO1. Use robots for different applications.

CO2. Programming of robots for different applications

CO3. Modeling and control of various robotic configurations

DETAILED SYLLABUS

Fundamentals of robotics – wrists design - end effectors – actuators - modular robots.

Robot and its peripherals - sensors, machine vision - image processing & analysis -

application of artificial intelligence, voice communication - robot control units - motion

controls.

Robot kinematics - homogeneous transformations - forward & inverse kinematics -

problems of dynamics - differential relationships - motion trajectories - dynamics of a

robot control of single & multiple link robot - static force analysis.

Robot Programming - different languages - expert systems.

Robot applications in manufacturing - material transfer & machine loading/unloading -

processing operations – inspection - automation - robot cell design – control – recent

developments and special applications - Micro & Bio robotics.

TEXT BOOKS

1. Richard D Klafter, Thomas A Chmielewski & Michael Negin, “Robotic

Engineering – An Integrated Approach”, Prentice Hall, 1994.

2. Deb, S.R., “Robotic Technology and Flexible Automation”, Tata McGraw Hill,

1994.

3. Fu & Gonzales, “Industrial Robotics”, Tata McGraw Hill, 1988.

ONLINE RESOURSES

1. Industrial Robotics, NPTEL course, Prof. C. Amarnath, IIT Bombay : https://nptel.ac.in/courses/112101099/1




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IP-555 METAL FATIGUE [3- 0 -0 -3]

COURSE OUTCOMES


CO1. Students shall be able to understand basic fundamentals of fatigue

CO2. Students shall be able to correlate the concepts with fracture mechanics

CO3. Shall be able to develop new mathematical models.

CO4. Shall be able to learn the effect of environmental factors on fatigue

CO5. Shall be able to understand failure in weldments due to fatigue

CO6. Shall be able to develop research skills

DETAILED SYLLABUS

Stress-Life (S-N Approach): Fatigue loading, fatigue phenomenon, test machines and

specimens, stress life (S-N) curves, mean stress effects on S-N Behavior, S-N Curve

representation and approximations, modifying factors, design S-N curves, fatigue

strength testing, Notch effect, Mean stress effect:

Strain Life Approach: Monotonic tension test and stress and strain behaviour, strain

controlled test methods, Analysis of monotonic and cyclic stress-strain behaviour: mean

stress correction methods, estimation of cyclic and fatigue properties, notch analysis,

Multiaxial Stresses: States of stress and strain and proportional versus non

proportional loading, yielding and plasticity in multiaxial fatigue, stress based criteria,

strain based, energy based and critical plane approaches

Fundamentals of LEFM and Fatigue Crack Growth: LEFM concepts, crack tip

plastic zone, fatigue crack growth law, Mean stress effects, cyclic plastic zone size,

crack closure, small fatigue cracks, plasticity extension of LEFM and EPFM, Walker

Equation, Forman Equation, life estimation

Environmental Effects: Corrosion fatigue, SCC, fatigue crack growth behaviour,

fretting and mechanism, fatigue, low temperature fatigue, high temperature fatigue,

neutron irradiation

Fatigue of Weldments: Weldment nomenclature and discontinuities, constant

amplitude fatigue behaviour of weldments, stress life, strain life, crack growth

behaviour, spot weld, improving weldment fatigue resistance, weldment fatigue life

estimation

TEXT BOOKS

1. Metal Fatigue in Engineering, R.I. Stephens, A. Fatemi, R.R. Stephens and H.O. Fuchs,

Wiley India Edition, 1980.

2. Fatigue Testing and Analysis – Theory and Practice, Y. Lee, J. Pan, R. Hathaway and M.

Barkey, Elsevier Publication, 2011.

3. Elementary Engineering Fracture Mechanics, D. Broek, Kluwer Acaedemic Publication,

2012.

4. J.E. Shigley and C.R. Mischke, Mechanical Engineering Design, Mc Graw Hill book, 2002.

ONLINE RESOURSES

1. Metal Fatigue, NPTEL course, Prof. S.R. Satish Kumar and Prof. A.R. Santha Kumar:

https://nptel.ac.in/courses/105106112/1_introduction/7_Fatigue.pdf



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IP-557 HYBRID MANUFACTURING METHODS (3- 0- 0- 3)

COURSE OUTCOMES

At the end of the course students should be able to

CO1. Categorize different hybrid machining methods as per the requirements of

material being used to manufacture end product.

CO2. Select material processing technique with the aim of quality of product required,

and rate of material removal attain.

CO3. Identify the process parameters affecting the product quality in various advanced

machining of metals/ non-metals, ceramics and composites.

CO4. Combine & develop novel hybrid non-traditional manufacturing techniques from

the available conventional and advanced methods.

CO5. Perform process analysis taking into account the various responses considered in

a process under study.

DETAILED SYLLABUS

Introduction: Types of Hybrid machining processes; Evolution, need, and classification

of Hybrid machining processes (HMP’s).

Abrasion assisted HMPs; AWEDM: abrasive wire cut electrical discharge machining;

EDAG: electrical discharge abrasive grinding; ECAG: electrochemical abrasive

grinding; AECF: abrasive electrochemical finishing; AEDF: abrasive electrical

discharge finishing; AECH: abrasive electrochemical honing. Process principle and

elements; Tool design; Mechanism of material removal, several input process variables

and parametric analysis; Influential process parameters; Shape and material

applications; Operational characteristics; Limitations.

Hybrid electrical-chemical processes; ECDM: electrochemical discharge machining;

ECAM: electrochemical arc machining. EDDG: Electric Discharge Diamond Grinding.

Process principle and elements; Tool design; Mechanism of material removal, several

input process variables and parametric analysis; Influential process parameters; Shape

and material applications; Operational characteristics; Limitations.

Laser assisted HMPs LAT: laser-assisted turning; LAG: laser-assisted grinding;

LAEDM: laser-assisted electrical discharge machining; LAECM: laser-assisted

electrochemical machining; LAE: Laser assisted etching. Process principle and




Ultrasonic assisted HMPs RUSM: Rotary ultrasonic machining; RUFM: Rotary

ultrasonic face milling; UAT: ultrasonic-assisted turning; UAD: ultrasonic-assisted

drilling; UAG: Ultrasonic vibration assisted grinding; UAEDM: ultrasonic-assisted

EDM, UAECM: ultrasonic-assisted ECM. Process principle and elements; Tool design;

Mechanism of material removal, several input process variables and parametric

analysis; Influential process parameters; Shape and material applications; Operational

characteristics; Limitations.

Magnetic force assisted HMPs MFEDM: magnetic force–assisted EDM; MFECM:

magnetic field–assisted ECM; MAF: magnetic abrasive finishing. Process principle and




Misc. Topics: Process selection and process planning for several newsest and novel

HMPs.



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TEXT BOOKS

1. Jain, V K, “Advanced Machining Processes”, Allied Publishers, 2011.

2. Benedict, G F, “Nontraditional Manufacturing Processes”, Marcel Dekker, 2017.

3. McGeough, J A , “Advance Method of Machining”, Chapman and Hall, 1988.

4. Mishra, P K, “Nonconventional Machining”, Narosa Publishing House, 2007.

5. Gupta, K, Jain, N K, Laubscher, R F “Hybrid Machining Processes - Perspectives

on Machining and Finishing”, Springer Publications, 2015.

6. Xichun L, Yi Q., “Hybrid Machining - Theory, Methods, and Case Studies”, 1st

Edition, Elseveir Publications, 2018.

REFERENCE BOOKS

1. Pandey, P.C., and Shan, H.S., “Modern Machining Processes”, Tata McGraw-Hill,

1980.

2. Ghosh, A., and Mallik, A.K., “Manufacturing Science”, Affiliated East-West Press,

1999.

ONLINE RESOURSES

1. HYBRID MANUFACTURING Methods, NPTEL course, Prof. Shantanu

Bhattacharya, IIT Kanpur: https://nptel.ac.in/courses/112104204/47.




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IP-552 INDUSTRIAL INTERNET OF THINGS [3-0-0-3]

COURSE OUTCOMES


CO1. Students will learn about various types of sensors and actuators

CO2. Students will be able to interface various sensors and actuators with Arduino

CO3. Students will be able to interface various sensors and actuators Raspberry Pi

CO4. Students should be able to develop some simple projects using Arduino and

Raspberry Pi.

DETAILED SYLLABUS

Introduction to the Internet of Things and Embedded Systems:

Define the term “Internet of Things”, State the technological trends which have led to

IoT, Describe the impact of IoT on society, Define what an embedded system is in

terms of its interface, Enumerate and describe the components of an embedded system,

Describe the interactions of embedded systems with the physical world, Name the core

hardware components most commonly used in IoT devices, Describe the interaction

between software and hardware in an IoT device, Describe the role of an operating

system to support software in an IoT device, Explain the use of networking and basic

networking hardware, Describe the structure of the Internet. Describe the meaning of a

“network protocol”, Explain MANETs and their relation to IoT

The Arduino Platform and C Programming: Outline the composition of the Arduino

development board, describe what it means to program the board's firmware, Read

board schematics, Install Arduino IDE 5. Describe what "shields" are and how they are

used, Specify the role of libraries in the use of shields, Compile and run a program,

Name C Variables and Types, Name common C operators, Use conditionals and loops,

Explain functions, their definition and invocation, Explain the implications of global

variables, Undertake the Arduino build process, Describe the role of the tools behind

the IDE, Describe how to invoke functions in classes, Explain the structure of an

Arduino sketch, Access the pins of the Arduino, Differentiate between digital and

analog pin, Debug embedded software, Explain the importance of controllability and

observability in the debugging process, Describe common debugging architectures for

embedded systems, Explain how the UART Serial communication protocol works,

Describe how the Arduino Serial library performs serial communication

Interfacing with the Arduino: Receiving inputs from add-on devices such as sensors,

and control the world around it by adjusting lights, motors, and other actuators. Use the

different types of sensors and how to connect them to the Arduino. Since the external

world uses continuous or analog signals and the hardware is digital so learn how these

signals are converted back-and-forth and how this must be considered while

programing device. Learn about the use of Arduino-specific shields and the shields

software libraries to interface with the real world.

The Raspberry Pi Platform and Python Programming for the Raspberry Pi: Setup

the Raspberry Pi environment, get a Linux operating system running, and write and

execute some basic Python code on the Raspberry Pi. How to use Python-based IDE

(integrated development environments) for the Raspberry Pi and how to trace and



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debug Python code on the device. Interfacing with the Raspberry Pi: how to use the

Raspberry Pi to interface with more complicated sensors and actuators. Explore the use

of the Raspberry Pi camera module and the use of a servo. The Raspberry Pi camera

module to be used through the picamera library. Servos are controlled by generating

pulse width modulated signals and varying their pulse width using library functions.

Interfacing with the Raspberry Pi: The Raspberry Pi uses a variety of input/output

devices based on protocols such as HDMI, USB, and Ethernet to communicate with the

outside world. In this class you will learn how to use these protocols with other external

devices (sensors, motors, GPS, orientation, LCD screens etc.) to get your IoT device to

interact with the real world. Most physical devices use analog signals; however,

computer hardware is digital so in this class you will learn how these signals are

converted back-and-forth and how this must be considered as you program your device.

The basic design of a sensor-actuator system will also be covered. You will also learn

how to build more sophisticated hardware systems using Raspberry Pi expansion

boards to create fun and exciting IoT devices.

Programming for the Internet of Things Project: Design a microcontroller-based

embedded system. Build and test a system. Built on a low-cost budget for a real-world

application.

TEXT BOOK

1. John Nussey, “Arduino for Dummies”, John Wiley & Sons, 2013

2. Simon Monk, “Programming the Raspberry Pi: Getting Started with Python”,

McGraw Hill, 2013

3. Alex Bradbury, Ben Everard, “Learning Python with Raspberry Pi”, John Wiley &

Sons, 2014

ONLINE RESOURCE

1. Introduction to the Internet of Things and Embedded Systems, Professor Ian Harris,

University of California, Irvine: https://www.coursera.org/learn/iot?specialization=iot

https://www.coursera.org/learn/iot?specialization=iot



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IP-554 MECHANICS OF METAL FORMING [3-0-0-3]

COURSE OUTCOMES


CO1. Solve the forming design problems considering friction

CO2. Use and apply the slab analysis, upper bound and slip-line field theory to solve

mechanics of metal forming problems

DETAILED SYLLABUS

Basics of metal forming - Mohr's circle - isotropic elasticity - yield theories - plastic

stress-strain relationship - plastic work - the principle of normality - incremental plastic

strain.

Constitutive relationships - mechanical properties - work hardening - compression test,

bulge test, plane strain compression test - plastic instability in tension tests. Strain rate -

super plasticity - slab analysis for sheet drawing –

Extrusion and forging - upper bound solution for Extrusion - Indentation and plane

strain forging.

Slip line field theory and its solution - Formability and its testing.

Sheet Metal forming - Bending theory, Cold Rolling theory - Hill's anisotropic

plasticity theory Hill's general yield theory, CAD/CAM applications in Extrusion,

Forging and sheet metal Forming - Localized necking in biaxial stretching.

TEXT BOOKS

1. Hosford W F and Caddell, R M, “Metal Forming Mechanics and Metallurgy”,

Prentice Hall,1983.

2. Narayanasamy R, “Theory of Plasticity”, Ahuja Publications, 2000.

3. Scrope Kalpakjian, “Manufacturing processes for Engineering Materials”, Addision

Wesley, 1997.

ONLINE RESOURCE

1. Mechanics Of Metal Forming, NPTEL course, Professor Pradeep K. Jha, IIT

Roorkee: https://onlinecourses.nptel.ac.in/noc18_me49/preview.



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IP-556 ADVANCED CASTING AND WELDING TECHNOLOGY [3-0-0-3]

COURSE OUTCOMES

CO1. Disseminate the knowledge on advanced casting and welding processes.

CO2. Analyze the effects of process parameters on the quality of cast and weld

products.

CO3. Select the NDT techniques for the evaluation of cast and weld components.

DETAILED SYLLABUS

Introduction to melting technology

Principles and applications of melting processes, Induction, Vacuum Arc, Skull, Plasma

Arc and Electron Beam Melting. Melting of Nickel, Titanium, Iron and Cobalt based

alloys. Melt processing: Principles of degassing, grain refining and modification. Basic

concepts of solidification, Directional Solidification of single crystal and columnar-

grained castings and its application to aerospace castings

Introduction to advanced casting processes

Evaporative Pattern Casting Process, Process Description of Evaporative Pattern

Casting, Hybrid Evaporative Pattern Casting Process, Vacuum Sealed Moulding

Process, Vacuum Sealed Moulding Process Set Up, Investment Casting Process,

Ceramic Shell Investment Casting Process (CSIC), Wax Preparation, Blending and

Process Parameters in CSIC, Shell Moulding, Processing Steps and Parameters in Shell

Moulding, Low Pressure Gravity Die casting, Counter Gravity Sand Casting, and

Squeeze Casting. Thixo-moulding and Resin-bonded moulding processes. Directional

Solidification of single crystal and columnar-grained castings and its application to

aerospace castings. Metal infiltration technology and Casting of Metal Matrix

Composites, Micro-casting, Inert Environment Vacuum Casting and Solidification,

Compocasting, Roll Casting, Casting of Intermetallics, and rapid sand casting.

Introduction to advanced welding processes

Microjoining and nanojoining, wire bonding; fundamentals and types of laser welding

including hybrid processes, Laser properties; Stud welding and mechanical fasteners;

Magnetically impelled arc welding; advanced gas tungsten arc welding; flux cored arc

welding; electron beam welding; pressure welding; ultrasonic welding; explosive

welding; diffusion bonding; friction stir welding; electromagnetic pulse welding; high

velocity projectitle impact welding;

Fundamentals of welding automation and testing

Welding sensors and data acquisition; welding process modeling and optimization;

computational welding mechanics for thermo mechanical and microstructural

phenomenon; principles of robotic welding; weld distortion and defects - causes and

remedies; residual stresses; inspection and testing of weldments.

TEXT BOOKS

1. Heine, R and Rosenthal P, "Principles of Metal Casting", Tata McGraw Hill, New

Delhi 1980.

2. Metals Handbook, Vol.15, "Casting", ASM International, Metals Park, Ohio, 1988.

3. Yu, K O, “Modelling for Casting and Solidification Processing”, Marcel Dekker,

2002.



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4. Grong, O, “Metallurgical Modelling of Welding”, Second Edition, The Institute of

Materials, 1997.

5. Kou, S, “Welding Metallurgy”, Second Edition, John Wiley Publications, New

York, 2003.

6. Y N Zhou, “Microjoining and Nanojoining”, Woodhead publishing, 2008.

7. W Steen, Laser Material Processing, Springer-Verlag, 1991.

8. L Liu, “Welding and Joining of Magnesium Alloys”, Woodhead Publishing, 2010.

9. J Norrish, “Advanced welding Processes”, Woodhead publishing, 2006.

REFERENCE BOOKS

1. Beeley, P, “Foundry Technology”, Second Edition, Butterworth/Heinemann, 2001.

2. Kou, S, “Transport Phenomena in Materials Processing”, John Wiley and Sons,

1996

3. "Materials and Processes in Manufacturing" (8th Edition), E P DeGarmo, J. T

Black, R A Kohser, Prentice Hall of India, New Delhi (ISBN 0-02-978760).

4. "Manufacturing Science" A Ghosh, and A K Mallik, Affiliated East-West Press Pvt.

Ltd. New Delhi.

5. "Non-traditional Manufacturing Processes", G F Benedict, Marcel Dekker, Inc.

New York (ISBN 0-8247-7352-7).

6. American Welding Society, Welding Handbook, Section I to V" 8th Edition, 1996.

7. ASM International Handbook Committee, Welding, Brazing and Soldering, ASM

handbook, Vol 6, 1993.

8. Nadkarni,S V, “Modern Arc welding techniques handbook”, Oxford IBH, 1988.

9. L E Lindgren, “Computational welding mechanics”, Woodhead Publishing Limited

2007.

10. J A Goldak, “Computational welding mechanics”, Springer, 2005

ONLINE RESOURSES

1. Advanced Manufacturing Processes, NPTEL course, Dr. Pradeep Kumar and Dr. A. K.

Sharma, Department of Mechanical and Industrial Engineering, IIT Roorkee.

http://nptel.ac.in/syllabus/112107077/

2. Advances in Welding and Joining Technologies, NPTEL course, Dr.Swarup Bag,

IIT Guwahati. https://onlinecourses.nptel.ac.in/noc18me20/

http://nptel.ac.in/syllabus/112107077/

https://onlinecourses.nptel.ac.in/noc18me20/



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IP-563 PHYSICAL METALLURGY [3-0-0-3]

COURSE OUTCOMES

CO1. Students will be able to review the basic concepts of physical metallurgy.

CO2. Students will be able to understand and analyze the diffusion phenomenon in

metals and alloys.

CO3. Students will be able to understand and use the phase diagrams for the evaluation

of different microstructural constituents within an alloy.

CO4. Students will be able to predict the properties on the basis of structure and texture

identification components like ferrite, austenite, martensite, bainite, pearlite etc.

DETAILED SYLLABUS

Crystallography - space lattice - unit cell - classification of space lattices by crystal

system - packing factor - indexing of crystal planes and directions in cubic and

hexagonal system - defects in crystals - dislocation concepts - slip and twin crystal

orientation, Strengthening mechanisms.

Diffusion: Atomic mechanisms of diffusion, Interstitial diffusion, Substitutional

diffusion, Atomic mobility, Diffusion in binary alloys, Diffusion in ternary alloys, High

diffusivity paths, Diffusion in multiphase binary systems

Solidification: Nucleation and Growth in pure metals, Concept of free energy,

Nucleation and crystal growth during solidification, Homogeneous nucleation, critical

size of the nucleus, Solidification of ingots and castings, Solidification of fusion welds,

Coring and segregation

Phase Transformation of Metals and Alloys

Basics of binary and ternary phase diagram, Introduction to iron-iron carbide diagram,

TTT and CCT diagrams, Precipitate growth, Precipitation in Age-Hardening alloys,

Precipitation of ferrite from austenite, Cellular precipitation.

Austenite-Pearlite transformation, role of diffusion and temperature on lamellar

spacing. Bainite transformation: Nature of carbide in bainite, upper and lower bainite,

isothermal transformation in austempered ductile iron.

Martensitic transformation: Characteristics of diffusionless transformation,

Crystallographic aspects and mechanism of atom movements, Theories of martensitic

nucleation and growth, Tempering of ferrous martensites, Comparison between

twinning and martensitic transformation, Plastic deformation, arrested cooling on

kinetics.

Order-Disordered transformations: Common structures in ordered alloys, Variation

of order with temperature, Determination of degree of ordering, Effect of ordering on

properties, applications Precipitation hardening: Structural changes, Mechanism and

integration of reactions, Effect of retrogression, Double peaks, Spinoidal

decomposition.

Recovery, recrystallization and grain growth: property changes, Driving forces, N-G

aspects, annealing twins, textures in cold worked and annealed alloys, polygonization.



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TEXT BOOKS:

1. William Callister, “Materials science and engineering- An introduction”, Wiley,

2007.

2. William F Hosford, “Physical metallurgy”, CRC press, 2005.

3. V Raghavan, “Phase transformations”, 2006.

REFERENCE BOOKS:

1. Porten and Easterting, “Phase Transformation”.

2. R W Cahn, “Phase Transformation”.

3. R E Smallman, “Modern Physical Metallurgy”.

4. Reedhill RE, “Principles of Physical Metallurgy”.

ONLINE RESOURCE

1. Physical Metallurgy, NPTEL Course, Professor Rabindra Nath Ghosh, IIT

Kharagpur: https://nptel.ac.in/courses/113105024/




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IP-565 ADDITIVE AND SUBTRACTIVE MANUFACTURING [3-0-0-3]

COURSE OUTCOMES

CO1. Understand the importance of time compression technologies

CO2. Selection of appropriate technology for the application

CO3. Exposure to RP software packages

DETAILED SYLLAUS

Introduction- Need for the compression in product development, History of RP

systems, Survey of applications, Growth of RP industry, Classification of RP systems.

Principle, process parameters, process details and applications of various RP processes

- Stereo lithography systems, Laser Sintering, Fused Deposition Modeling, Laminated

Object

Manufacturing, Solid Ground Curing, Laser Engineered Net Shaping, 3D Printing,

Laser Melting, Cladding.

Rapid Tooling: Indirect rapid tooling Direct rapid tooling, soft tooling Vs hard tooling,

Rapid Manufacturing Process Optimization- Factors influencing accuracy, data

preparation errors, part building errors, errors in finishing, influence of part build

orientation.

Software for RP: STL files, overview of solid view, magics, mimics, magics

communicator, etc., internet based softwares, collaboration tools.

RP Technology selection, Decision Making, Life Cycle Assessment of RP processes,

Sustainability issues.

Mechanics of Cutting - Various methods of metal removal, Mechanics of orthogonal

cutting, nature of contact between chip and tool, stress distribution at chip-tool

interface, controlled contact tools, Mechanics of oblique cutting, Thermal aspects of

metal cutting, Cutting fluids, method of selection of fluids, Dry cutting, Tool wear,

Wear theories, experimental methods, Tool life, Machinability.

TEXT BOOKS

1. Pham D T and Dimov S S, "Rapid Manufacturing", Verlag, 2001.

2. Paul F Jacobs, "Stereo lithography and other RP&M Technologies", SME, 1996.

3. Terry Wohlers, "Wohlers Report 2001", Wohlers Associates, 2008.

4. Prasad H and Badrinarayanan, K S, “Rapid Prototyping and Tooling”, SPI-

Pageturners, Bangalore, India, 2013.

5. Chattopadhyay A B, “Machining And Machine Tools”, John Wiley & Sons, 2011

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