1

CURRICULUM

for the Academic year 2017 – 2018

Programme in Industrial Engineering (MIE)

Industrial Engineering and Management

RAMAIAH INSTITUTE OF TECHNOLOGY

(Autonomous Institute, Affiliated to VTU)

BANGALORE – 54

M. Tech I to IV Semester

2

About the Institute

Ramaiah Institute of Technology (RIT) (formerly known as M. S. Ramaiah

Institute of Technology) is a self-financing institution established in Bangalore in

the year 1962 by the industrialist and philanthropist, Late Dr. M S Ramaiah The

institute is accredited with A grade by NAAC in 2016 and all engineering

departments offering bachelor degree programs have been accredited by NBA.

RIT is one of the few institutes with faculty student ratio of 1:15 and achieves

excellent academic results. The institute is a participant of the Technical Education

Quality Improvement Program (TEQIP), an initiative of the Government of India.

All the departments are full with competent faculty, with 100% of them being

postgraduates or doctorates. Some of the distinguished features of RIT are: State of

the art laboratories, individual computing facility to all faculty members. All

research departments are active with sponsored projects and more than 130

scholars are pursuing PhD. The Centre for Advanced Training and Continuing

Education (CATCE), and Entrepreneurship Development Cell (EDC) have been

set up on campus. RIT has a strong Placement and Training department with a

committed team, a fully equipped Sports department, large air-conditioned library

with over 80,000 books with subscription to more than 300 International and

National Journals. The Digital Library subscribes to several online e-journals like

IEEE, JET etc. RIT is a member of DELNET, and AICTE INDEST Consortium.

RIT has a modern auditorium, several hi-tech conference halls, all air-conditioned

with video conferencing facilities. It has excellent hostel facilities for boys and

girls. RIT Alumni have distinguished themselves by occupying high positions in

India and abroad and are in touch with the institute through an active Alumni

Association. RIT obtained Academic Autonomy for all its UG and PG programs in

the year 2007. As per the National Institutional Ranking Framework, MHRD,

Government of India, Ramaiah Institute of Technology has achieved 45th rank in

2017 among the top 100 engineering colleges across India and occupied No. 1

position in Karnataka, among the colleges affiliated to VTU, Belagavi.

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About the Department:

The department was established in the year 1979 as Industrial & Production

engineering and renamed as Industrial Engineering & Management in the year

1992 with an intake of 60 students and M.Tech program commenced in the year

2012. The department has been recognized as R&D center by VTU with 10

students perusing their Ph.D. The department has well modernized laboratories

namely Industrial & Quality Engineering lab, Computer Lab and Metrology &

Mechanical Measurement lab. The department is having highly qualified,

motivated and result oriented faculty members. All the faculties are involved in

research and technical paper publications in reputed technical journals, conferences

across the world. The department was accredited by the NBA in 2001, 2004, 2010

& reaccredited in year 2015 as per the new NBA format laid down by Washington

Accord. It has consistently bagged university ranks in Bangalore University &

VTU. It has set a unique record of achieving 1st rank eleven times. The department

has successfully conducted around 28 faculty development programs, seminars &

workshops for academicians, Industry personnel, students and technical staff. The

society of Industrial Engineering and Management, “INDEMAN SOCIETY” was

established in the year 1996. The activities of this society includes: Regular

Industrial visits and Guest Lectures which are conducted twice every semester

for all students. Many research projects are executed which are sponsored by UGC,

DST and VTU.

Focus of the Department:

The department mainly focuses on the following thrust areas which include

optimization, productivity enhancement, quality control, work system design,

supply chain management, Computer Integrated Manufacturing, Operations

Planning and Control and other related areas. Our graduates are placed in a

spectrum of manufacturing and service industries. Our focus is also on developing

future entrepreneurs.

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VISION OF THE INSTITUTE

To evolve into an autonomous institution of international standing for imparting

quality technical education

MISSION OF THE INSTITUTE

MSRIT shall deliver global quality technical education by nurturing a conducive

learning environment for a better tomorrow through continuous improvement and

customization

QUALITY POLICY

We at M. S. Ramaiah Institute of Technology strive to deliver comprehensive,

continually enhanced, global quality technical and management education through

an established Quality Management System complemented by the synergistic

interaction of the stake holders concerned

The Vision of the Department: To nurture engineers, entrepreneurs who develop

solutions to continually improve socio-technical systems and add value to the

society

The Mission of the Department: The department shall transform the entrants of

the Program into professionally competent engineers through innovative

educational curricula, balanced research program and effective collaboration with

industry and academia

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M.Tech Program Educational Objectives (PEO’s)

The Post Graduate of Industrial Engineering program will effectively:

PEO1: Apply the skills and competence of Industrial Engineering to interpret and

solve real life problems.

PEO2: Engage, empower, build and lead the cross functional teams to solve

integrated eco- systems.

PEO3: Involve in continued competitive research leading to cutting edge

solutions.

M.Tech Program Outcome’s (PO’s)

The Post Graduate of Industrial Engineering will have an ability to:

PO1: Independently carry out research/investigation and development work to

solve practical problems.

PO2: Write and present a substantial technical report/document.

PO3: Identify advanced engineering and IT tools to solve innovative industrial

engineering challenges.

PO4: Demonstrate the importance of environmental sustenance through the

application of professional ethics along with techno-social responsibilities.

PO5: Implement the principles of project management to solve societal issues.

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RAMAIAH INSTITUTE OF TECHNOLOGY, BANGALORE-54

(Autonomous Institute, Affiliated to VTU)

SCHEME OF TEACHING AND EXAMINATION 2017 -2018

I SEMESTER M.TECH - INDUSTRIAL ENGINEERING (MIE)

Sl.

No.

Subject

Code

Subject Credits*

L T P S Total

1 12MIE 11 Advanced Probability and Statistics 3 1 - -- 04

2 12MIE 12 Research Methodology 4 - -- 1 05

3 12MIE 13 Innovation and Technology Management 4 - -- -- 04

4 12MIE 14 Computer Aided Facilities Planning 4 -- - -- 04

5 12MIE 15 Elective – A 4 -- -- -- 04

6 12MIE 16 Seminar – I -- 2 -- -- 02

7 12MIEL 17 Advanced Probability and Statistics Lab - - 01 - 01

8 12MIEL 18 Computer Aided Facilities Planning Lab - - 01 - 01

Total 19 03 02 01 25

* L : Lecture T : Tutorial P : Practical S: Self Study

Elective – A

Subject Code Name of the subject

12MIE 151 Software Engineering

12MIE 152 Project Management

12MIE 153 Managerial Economics

12MIE 154 Advanced Topics in Production Planning and Control

12MIE 155 Flexible Manufacturing Systems

7

SCHEME OF TEACHING AND EXAMINATION 2017 -2018

II SEMESTER M.TECH - INDUSTRIAL ENGINEERING (MIE)

Sl.N

o.

Subject

Code

Subject Credits*

L T P S Total

1 12MIE 21 System Simulation and Modeling 4 -- - -- 04

2 12MIE 22 Quantitative Techniques in Decision Making 4 1 -- -- 05

3 12MIE 23 Quality and Reliability Engineering 4 1 -- -- 05

4 12MIE 24 Work System Design 3 - - 1 04

5 12MIE 25 Elective – B 4 1 -- -- 05

6 12MIE 26 Seminar – II -- 2 -- -- 02

7 12MIEL 27 System Simulation and Modeling Lab - -- 1 -- 01

8 12MIEL 28 Work System Design Lab - - 1 - 01

Total 19 05 02 01 27

* L : Lecture T : Tutorial P : Practical S : Self Study

Elective – B

Subject Code Name of the subject

12MIE 251 e-Commerce

12MIE 252 Human Resources Management

12MIE 253 Design of Experiments

12MIE 254 Artificial Intelligence and Expert Systems

12MIE 255 Advanced Topics in Quality Management Systems

8

SCHEME OF TEACHING AND EXAMINATION 2017 -2018

III SEMESTER M.TECH - INDUSTRIAL ENGINEERING (MIE)

Sl.

No.

Subject

Code

Subject Credits

L T P

S Total

1 12MIE 31 Supply Chain Management 4 1 -- -- 05

2 12MIE 32 Management Accounting and Finance 4 1 -- -- 05

3 12MIE 33 Elective – C 4 - -- -- 04

4 12MIE 34 Elective – D 4 - -- -- 04

5 12MIE 35 Dissertation Preliminaries -- 2 4 -- 06

Total 16 04 04 0 24

* L : Lecture T : Tutorial P : Practical S : Self Study

Elective – C

Subject Code Name of the subject

12MIE 331 Marketing Management

12MIE 332 Lean Manufacturing Systems

12MIE 333 Enterprise Resource Planning (ERP)

12MIE 334 Financial Management

12MIE 335 Computational Methods for Queuing Networks

Elective – D

Subject Code Name of the subject

12MIE 341 Software Quality Assurance

12MIE 342 Data Warehousing and Data Mining

12MIE 343 Cyber Security

12MIE 344 Information Technology – Strategy and Management

9

SCHEME OF TEACHING AND EXAMINATION 2017 -2018

IV SEMESTER M.TECH - INDUSTRIAL ENGINEERING (MIE)

Sl.N

o.

Subject Code Subject Credits

L T P S Total

1 12MIE 41 Dissertation - - 24 -- 24

Total - - 24 -- 24

* L : Lecture T : Tutorial P : Practical S : Self Study

SEMESTER WISE CREDIT ALLOCATION

Semester Core Electives Project Others Total

1 19 04 - 02 25

2 20 05 - 02 27

3 10 08 06 - 24

4 - - 24 - 24

Total 49 17 30 04 100

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Advanced Probability and Statistics

Subject Code : 12MIE 11 Credits : 4 : 0 : 0: 0

Prerequisites : Nil

Unit I

Introduction to probability theory, Discrete and Continuous Random Variables, Distribution of

Random Variables: Binomial, Poisson, Hypergeometric, Multinomial, Normal, Gamma,

Exponential, Chisquare, F, t. Mathematical Expectation of Random Variables

Unit II

Moment Generating Functions, Limit Theorems, Jointly Distributed Random Variables,

ConditionalProbability and Conditional Expectation

Unit III

Introduction to Stochastic Process, Discrete time Markov Chains : Introduction, Chapman

kolmogorv Equation, State Classification : Transient, Recurrent, Absorbing States, Transient

and Steady State Analysis, Markov Decision Process, Continous Time Markov Chains : Poisson

Process, Birth and Death Process

Unit IV

Introduction to Statistical Inference, Sampling Distribution, Point and Interval Estimation.

Hypothesis Testing : One Univarate and Two Univariate Populations, ANOVA (Single Factor)

Unit V

Introduction to Multivariate Techniques, Analysis of Dependence: Linear Regression, Multiple

Linear Regression, Discriminant Analysis (Non Analytical Treatment). Analysis of

Interdependence : Principal Component Analysis (Non Analytical Treatment), Factor

Analysis(Non Analytical Treatment)

Text Books

1. Sheldon M Ross : Introduction to Probability models 10th Edition, Academic Press, 2009

2. Douglas C. Montgomery, George C. Runger : Applied Probability&Statistics, 5th

Edition, Wiley, 2010

3. Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black, Multivariate Data

Analysis, 7th Edition, 2009

11

Reference Books:

1. Richard I. Levin, David S. Rubin, Statistics for Management, 7th Edition

2. Johnson, R.A. and Wichern, D.W. Applied Multivariate Statistical Analysis, Prentice

Hall, New Jersey, 1982.

3. Jay L. Devore, Probability and Statistics for Engineering and the Sciences, 8th Edition,

2008, Cengage Learning

4. Walpole, R.E. and Myers, R.H. Probability and Statistics for Engineers and Scientists,

Macmillan, 1989.

Course Outcomes:

The students will be able to:

CO1: Identify and Interpret Various Distributions and relate to real time data. (PO:3)

CO2: Apply Conditional Probability Concepts to Various Scenarios (PO:3)

CO3: Apply Markov Models to Various real time problems (PO: 3)

CO4: Analyze various real time Scenarios and conduct hypothesis testing (PO :3)

CO5: Apply Univariate and Multi Variateanalysis to real time situations. (PO:1,3)

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Research Methodology

Subject Code : 12 MIE 12 Credits : 4 : 0 : 0:1

Prerequisites : Nil

Unit – I

Research Methodology: An Introduction-Meaning of Research, Objectives of Research,

Motivation in Research, Types of Research, Research Approaches, Significance of Research,

Research Methods versus Methodology, Research and Scientific Method, Importance of

Knowing How Research is done, Research process, Criteria of Good Research, Problems

Encountered by Researchers in India

Unit – II

Defining the Research Problem: What is Research Problem, Selecting the problem, Necessity

of Defining the problem, Technique involved in Defining a problem, An illustration, Conclusion

Research Design : Meaning of Research Design, Need for Research Design, Features of a Good

design, Importance concepts relating to Research Design, Different Research Designs, Basic

principles of experimental design, Conclusion

Unit – III

Sampling Design: Census and sampling survey, Implication of a sample design, Steps in

sampling design, Criteria of selecting a sampling procedure, Characteristics of a good sample

design, Different types of sample design, How to select a Random sample, Random sample from

an Infinite universe, Complex Random sampling designs, Conclusion

Methods of Data Collection: Collection of primary data, Observation method, Interview

method, Collection of data through questionnaires, Collection of data through schedules,

Different between questionnaires and schedules, Some other methods of data collection,

Collection of secondary data, Selection of appropriate method for data collection, Case study

method

Unit – IV

Survey Research an Overview: The name of surveys, Errors in survey research, Respondent

Error, Administrative Error, Rule of Thumb estimates for systematic error, What can be done to

reduce survey error, Classifying survey Research methods, Total quality management and

satisfaction surveys, Implement total quality management

Survey Research :Basic methods of communication with respondents

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Questionnaire Design: Questionnaire design: an overview of the major decisions, What should

be asked?, Phrasing questions, The art of asking questions, What is the best question sequence,

What is the best layout, How much pretesting and revising are necessary, Designing

questionnaires for global research, Media used to communicate with respondents, Personal

Interviews, Telephone Interviews, Self administered questionnaires, Selecting the appropriate

survey research design.

Unit – V

Intellectual Property – IPR, Copyrights, Patents, Competing Interests, Commitments, and

Values. The Researcher in Society, research ethics.

Multivariate Analysis: The nature of multivariate analysis, Classifying Multivariate techniques,

Analysis of dependence, Analysis of interdependence.

Interpretation and Report Writing: Meaning of interpretation, Why interpretation, Technique

of interpretation, Precaution in interpretation, Significance of report writing, Different steps in

writing report, Layout of the research report, Types of reports, Oral presentation, Mechanics of

writing research report, Precautions for writing research reports, Conclusion

Text Books

1. C R. Kothari, Research Methodology, New Age International Publishers, 2nd edition, 2007

2. William G Zikmund, Business Research Methods, Indian edition, South western Publishers,

8th Indian Reprint – 2009.

Reference Books

1. Panneer Selvam, Research Methodology, PHI Learning Pvt. Ltd., 2007

2. Dr. B.L.Wadhera -Intellectual Property Rights, Universal Law Publishing Co. Ltd.. 2002

Course Outcomes:

The students will be able to:

CO1: Understand and design appropriate methodology for research. (PO:1)

CO2: Evaluate between various sampling procedures and their real time applications. (PO:3)

CO3: Analyze and interpret data collected. (PO:2)

CO4: Design an optimal surrey questionnaire for specific situation. (PO:2, 4)

CO5: Apply multi variate analysis to real time situations. (PO:5)

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Technology and Innovation Management

Subject Code :12MIE 13 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Laying the Foundation. Management of Technology and Innovation: An Overview. Study

of Technology, Innovation & Management. Key Definitions of Technology. Importance of

Managing Technology. Process of Managing Technology. Key Definitions of Innovation.

Process of Managing Innovation. Structuring the Examination of TIM.

Strategy Process and the Management of Technology and Innovation. What is Strategy?

Centrality of TIM in Strategic Management. Strategic process in TIM. Next Steps in Integrating

TIM and Strategy.

Unit II

Innovation: Internal Strategy. Planning. Planning: A Complex Process. To Innovate or Not to

Innovate. Types of Innovation. Innovation Planning Process. Application of the Planning

Process. Factors that aid Innovation Planning. Technology Stages and Planning. Developing a

Climate for Innovation.

Implementation. Key Initial Questions for Implementation. Key Implementation Issues.

Crafting Portfolios of Innovation.

Evaluation and Control. Evaluation and Control Processes. Evaluation. Control. Implementing

Evaluation and Control. Other Concerns in Evaluation and Control.

Unit III

Obtaining Technology: External Strategy. Planning. Alliances. Mergers and Acquisitions.

Planning the Acquisition of Technology.

Implementation. Initial Questions. Key Elements.

Evaluation and Control. Where Evaluation and Control Occur. Metrics. Gap Analysis.

Unit IV

Building Strategic MTI Success. Building Capabilities for MTI Success. Competitive

Advantage. Sustainable Advantage. Strategic Decisions and Competitive Advantage. Building

Capabilities from the Start. Other Types of Value Processes.

Organizational Learning and Knowledge Management. Organizational Learning. Knowledge

Management. Using Organizational Learning and Knowledge Management.

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Unit V

Evolution of Markets. Diffusion of Innovation/Market Growth. First Purchase Diffusion

Model. Repeat Purchase Diffusion Model. Product Life Cycle. Role of Marketing Variables in

Diffusion. Diffusion in the International Context. Methodological Issues in New Product

Diffusion. Other Methods to Forecast Sales of New Products.

New Product Entry Strategy and Competitor Response. New Product Introduction Strategy.

Competitive Responses to New Product Entry. Implications for Management of New Products.

Text Books:

1. Management of Technology and Innovation – White & Bruton, Cengage Learning, 2011.

2. Handbook of Technology and Innovation Management – Scott Shane, Wiley, 2008.

Reference:

1. P N Rastogi – Management of Technology and Innovation, Sage Publications, 1995.

Course Outcomes:

The students will be able to:

CO1: Identify the fundamental aspects of technology and innovation management. (PO:5)

CO2: Plan and implement an innovation policy. (PO:5)

CO3: Evaluate and control a technology policy. (PO:5)

CO4: Apply technology and innovation management for strategic success. (PO:5)

CO5: Implement technology and innovation management in a globalised industry. (PO:5)

16

Computer Aided Facilities Planning

Subject Code : 12MIE 14 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Defining Requirements – Introduction - Product, Process, and Schedule Design - Flow, Space,

and Activity Relationships.

Unit II

Developing Alternatives: Concepts and Techniques - Material Handling - Layout Planning

Models and Design Algorithms.

Unit III

Facility Design for Various Functions - Warehouse Operations, Manufacturing Systems,

Facilities Systems.

Unit IV

Developing Alternatives: Quantitative Approaches - Quantitative Facilities Planning Models

Evaluating, Selecting, Preparing, Presenting, Implementing, and Maintaining - Evaluating and

Selecting the Facilities Plan - Preparing, Presenting, Implementing, and Maintaining the

Facilities Plan.

Unit V

Facilities planning for various industries like Manufacturing, Pharma, Food Service,

Underground gas storage and Health care.Computer aided tools for facilities design.

Text Books:

1. Tompkins, James A; White John A; et al; Facilities Planning, Wiley, 2008

Reference Books

1. Andrew A. Signore, Terry Jacobs, Good Design Practices For GmpPharmaceuticalFacilities,

Taylor & Francis Group, 2005

2. Orin Flanigan, Underground Gas Storage Facilities: Design andImplementation,Gulf

Professional Publishing, 1995

Course outcomes:

The student should be able to :

CO1: Identify the optimal location and layout from the alternatives. (PO: 1, 2)

CO2: Aware of the different types of modern material handling equipment for their use in the

industry. (PO: 2, 3)

CO3: Enhance productivity of the organization by efficient usage of men, materials and

equipment. (PO: 1, 5)

CO4: Use computer algorithms to design plant layouts. (PO: 3, 4)

CO5: Evaluate the layout efficiency across various sectors. (PO: 3, 5)

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Elective - A

Software Engineering

Subject Code : 12MIE 151 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - Software Engineer's Workshop and Software Engineering Landscape.

Unit II

Software Processes, Requirements Engineering.

Unit III

Software Design: Architectures - Validation and Risk Analysis, Design Elaboration, Mobile

Computing.

Unit IV

Software Verification, Software Metrics, Software Cost Estimation.

Unit V

Software Reliability, Computational Intelligence in Software Engineering.

Text Books:

1. James Peters, WitoldPedrycz, Software Engineering: An Engineering Approach, Wiley, 2007

Reference Books

1. James, K L, Software Engineering, Prentice-Hall of India, 2008

Course outcomes:

The students will be able to,

CO1: Appreciate Software concepts and understand the significance of software development

life cycle. (PO: 1)

CO2: Identify and classify key project planning steps. (PO: 2, 3)

CO3: Compare and evaluate software risk management strategies. (PO: 3)

CO4: Demonstrate data modeling and functional modeling. (PO: 3, 4)

CO5: Design process concepts and document design methods. (PO: 4, 5)

18

Project Management

Subject Code : 12MIE 152 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction; Philosophy and Concepts: What is Project Management? Project and System

Definition;

Unit II

Systems Approach and Systems Engineering; Systems Development Cycle: Systems

Development Cycle and Project Conception.

Unit III

Systems and Procedures for Planning and Control: Planning Fundamentals; Project

TimePlanning and Networks;

Unit IV

Advanced Network Analyses and Scheduling;Cost Estimating and Budgeting; Project Quality

Management;

Unit V

Managing Risks in Projects; Project Execution and Control; Project Evaluation, Communication,

Implementation, and Closeout;

Text Books:

1. Nicholas John M, et al, Project Management For Business, Engineering, And

Technology:Principles And Practice, Elsevier India Private Limited, 2008.

Reference Books:

1. Jack Meredith, Samuel J Mantel, Project Management: A Managerial Approach, Wiley,2008

Course outcomes:

The students will be able to,

CO1: Manage the selection and initiation of individual projects and of portfolios of projects.

(PO: 2, 5) CO2: Form Concepts to address specific management needs at the individual, team, division

and/or organizational level. (PO: 1, 5)

CO3: Demonstrate effective project execution and control techniques that result in successful

projects. (PO: 4, 5)

CO4: Think critically and make analytical decisions to investigate complex business problems to

propose project-based solutions. (PO: 1, 5)

CO5: Demonstrate effective organizational leadership and risk management skills for handling

projects, project teams, and stakeholders. (PO: 4, 5)

19

Managerial Economics

Subject Code : 12MIE 153 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction – Micro and Macro Economics, Optimal Decisions Using Managerial Analysis

Unit II

Demand Analysis and Optimal Pricing, Estimating Demand – Forecasting – Production.

Unit III

Cost Analysis, Decision Making Under Uncertainty.

Unit IV

Markets - Perfect Competition, Monopoly, Oligopoly; Game Theory and Competitive Strategy

Unit V

Regulation, Public Goods, and Benefit-Cost Analysis, Bargaining and Negotiating, Auctions and

Competitive Bidding, Capital Budgeting

Text Books:

1. William F. Samuelson, Stephen G. Marks, Managerial Economics, Wiley, 2008

Reference Books:

1. Gupta, G.S., Managerial Economics, Tata McGraw Hill, 2004

Course outcomes:

The students will be able to,

CO1: Understand the internal and external decisions to be made by managers.

(PO: 1,5) CO2: Analyze the demand and supply conditions and assess the position of a company.

(PO: 1,2) CO3: Design competition strategies, including costing, pricing, product differentiation, and

market environment according to the natures of products and the structures of the markets.

(PO: 1, 2) CO4: Analyze real-world business problems with a systematic theoretical framework. (PO: 1, 3)

CO5: Make optimal business decisions by integrating the concepts of economics, mathematics

and statistics. (PO: 1, 5)

20

Advanced Topics in Production Planning and Control

Subject Code : 12MIE 154 Credits : 4 : 0 : 0 :0

Prerequisites : Nil

Unit I

Introduction: Introduction to operations and production Planning & Control, Historical

evolution, Latest Trends in Decision Making in business, Operations Management,

Competitiveness, strategy and Productivity, Case study/exercise problems

Unit II

Forecasting: Introduction, Features common to all forecasts, Elements of forecast, Steps in

forecasting process, Approaches to forecasting, Forecast based on judgment and opinion,

forecasts based ion time-series data, Associative forecasting technique, Accuracy & control of

forecast, Choosing of right forecasting technique, exercise problems

Unit III

System Design: Product redesign, Global product design concepts, Phases in product design

and development, Designing for Manufacture, Quality Function Deployment, The Kano Model,

Service Design for operations strategies, Defining and Measuring capacity, Determinants of

Effective Capacity, Forecasting Capacity requirements, Challenges of Planning service capacity,

Developing Capacity alternatives and evaluating the alternatives, Case study/Exercise problems

Unit IV

Aggregate Planning: Nature and importance of Inventories in Industry, Requirement for

Effective inventory management, Quantity models, Techniques for Aggregate Planning, Use of

strategies for meeting uneven demand, Master Scheduling Process, overview of Material

Resource Planning(MRP), MRP inputs, processing and outputs, MRP-II, Capacity Requirement

planning(CRP), Enterprise resource Planning (ERP), Distribution Requirement Planning.

Production Activity Control (PAC), Exercise problems

Unit V

Just in Time (JIT) & Scheduling: Introduction, The Toyota Approach, Supporting goals and

building blocks, JIT in services, JIT-II, Scheduling operations, Scheduling in Low-Volume

systems, Scheduling services, Operations strategy used in scheduling, case study/exercise

problems.

Text Books:

1. Operations Management, William J Stevenson, Tata McGraw Hill, 9th Edition, 2009.

Reference Books:

1. Operations Management for competitive advantage, Richard B Chase/F Robert Jacobs/

Nicholas J Aquilano, McGraw-Hill International edition, Eleventh edition, 2006.

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Course Outcomes:

The students will be able to:

CO1: Appreciate the role of PPC in enabling the enterprise to respond to the dynamic business

environment. (PO: 1, 3)

CO2: Acquire sufficient theoretical knowledge and analytical skills to forecast demand for

production / service operations. (PO:3)

CO3: Assess and formulate decision making strategies to address operating issues, capacity

requirements and developing capacity alternatives. (PO: 2, 3)

CO4: Develop analytical skills in the area of sales and operating planning, ERP, MRP, CRP and

PAC. (PO: 3)

CO5: Implement JIT concepts to minimize the inventory and to produce with minimum time and

cost using scheduling techniques. (PO: 4, 5)

22

Flexible Manufacturing Systems

Subject Code: 12MIE 155 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

FMS in Perspective - Investigation for Research and Applications. FMS Planning Since the Early

Eighties - Experience, Recommendations and Future Tendencies

Unit II

Flexibility Issues - Manufacturing Systems: Flexibility Assessment, Flexibility and Productivity

in Complex Production Processes. Pull and Push Type Production Ordering Systems - Some

ways to increase Flexibility in Manufacturing Systems

Unit III

FMS Planning - FMS Short Term Planning Problems: a Review, Loading Models in Flexible

Manufacturing Systems. Production Planning Model for a Flexible Manufacturing System,

Heuristics for Loading Flexible Manufacturing Systems, A Framework for Developing

Maintenance Policy for Flexible Manufacturing Systems

Unit IV

FMS Planning and Control - Analysis and Design, Control System Design for Flexible

Manufacturing Systems

Unit V

FMS Applications - A Computer Integrated Robotic Flexible Welding Cell, Idea and Practice of

Flexible Manufacturing Systems of Toyota

Text Books:

1. Raouf. A (Editor), M. Ben-Daya (Editor), Flexible Manufacturing Systems: Recent

Developments, Elsevier Science, 2005

Reference Books:

1. J. Talavage, R. Hannam, Joseph Talavage, Flexible Manufacturing Systems In Practice:

Design: Analysis And Simulation, CRC Press, 1987

Course Outcomes:

The students will be able to:

CO1: Identify the use of flexibility system in the early and present system. (PO:3)

CO2: Identify the flexibility issues in FMS and various production process. (PO:3)

CO3: Evaluate various FMS planning and maintenance policies. (PO:3)

CO4: Establish various analysis and design for planning and control in FMS.. (PO:5)

CO5: Analyze the different applications and practices in FMS both manufacturing and

maintenance. (PO:4)

23

Seminar - I Subject Code : 12MIE 16 Credits : 0 : 2: 0 : 0

Prerequisites : Nil

Seminar will be evaluated based on:

Literature Review of best practices in chosen area

At least one case study review that demonstrates student ability to related theory

to application

Project/ Paper Write-up

Presentation

Course Outcomes:

The students will be able to:

CO1: Identify emerging technological areas/tools in engineering. (PO: 3)

CO2: Collect data from reputed peer revived international journals and interpret them. (PO: 4)

CO3: Prepare an effective power point presentation. (PO: 1, 2)

CO4: Construct a feasible technical report and document (PO: 2)

24

Advanced Probability and Statistics Lab

Subject Code : 12MIEL 17 Credits : 0 : 0 : 1 : 0

Prerequisites : Nil

Laboratory exercises

List of experiments:

1. Determination of Basic Statistics

2. Graphical Interpretation of Data Using Histogram

3. Scatter Plot and Correlation Analysis

4. Hypothesis Testing of Single Sample with Known variance

5. Hypothesis Testing of Single Sample with unknown variance

6. Hypothesis Testing of Two Samples with Known variance

7. Hypothesis Testing of Two Sample with unknown variance

8. Testing the goodness of fit for Poisson Distribution

9. Testing the goodness of fit for Normal Distribution

10. Development of Markov Chain and analyzing markov chain for a gambler ruin problem

11. Conduction of Simple Linear Regression Analysis

12. Conduction of Multiple Linear Regression Analysis

13. Determination of Principal components, Factor analysis : Case Study

14. Conducting Discriminant analysis : Case Study

Suggested Software Packages: SYSTAT Version 11/12, MS Excel, Statistica , Minitab

Text Books

1. Sheldon M Ross : Introduction to Probability models 10th Edition, Academic Press, 2009

2. Douglas C. Montgomery, George C. Runger : Applied Probability&Statistics, 5th

Edition, Wiley, 2010

3. Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black, Multivariate Data

Analysis, 7th Edition, 2009

Reference Books:

1. Richard I. Levin, David S. Rubin, Statistics for Management, 7th Edition

2. Johnson, R.A. and Wichern, D.W. Applied Multivariate Statistical Analysis, Prentice

Hall, New Jersey, 1982.

3. Jay L. Devore, Probability and Statistics for Engineering and the Sciences, 8th Edition,

2008, Cengage Learning

4. Walpole, R.E. and Myers, R.H. Probability and Statistics for Engineers and Scientists,

Macmillan, 1989.

25

Course Outcomes:

The students will be able to:

CO1: Develop Various Proabability Models from real time data. (PO:1, 3)

CO2: Analyze various real time problems through probability & statistical techniques

(PO:1, 3)

CO3: Develop and Evaluate Various Univariate and Multivariate Models for various various

real life scenarios. (PO:1, 3)

26

Computer Aided Facilities Planning Lab

Subject Code : 12MIEL18 Credits : 0 : 0 : 1 : 0

Prerequisites : Nil

Laboratory Experiments

List of experiments:

1. Introduction to Facilities Planning

2. Layout construction of Collage canteen / Library

3. Construction of mezzanine floor.

4. Inserting cabinets/sections on mezzanine floor for a layout of your choice.

5. Proposals of good factory layout.

6. Building of stairway for future expansion keeping in mind experiment no 4.

7. Design of layout using CORELAP

8. Design of layout using Muther‟s systematic layout planning

9. Design of layout using ALDEP

10. Design of layout using CRAFT

11. Design of layout using line balancing.

12. Design a suitable material handling equipment to improve line efficiency.

13. Single Facility Location Model

14. Multi Facility Location Model

15. Facilities planning for manufacturing

Text Books:

1. Tompkins, James A; White John A; et al; Facilities Planning, Wiley, 2008

Reference Books

1. Andrew A. Signore, Terry Jacobs, Good Design Practices For GmpPharmaceuticalFacilities,

Taylor & Francis Group, 2005

2. Orin Flanigan, Underground Gas Storage Facilities: Design andImplementation,Gulf

Professional Publishing, 1995

Course Outcomes

The student will be able to:

CO1: Identify the optimal layout from the alternatives (PO: 3, 5)

CO2: Compare and contrast the different types of modern material handling equipment’s for

their use in the industry (PO: 1, 2)

CO3: Enhance productivity of the organization by efficient usage of men, materials and

equipment’s (PO: 1, 4, 5)

27

II SEMESTER

28

Systems Simulation and Modeling

Subject Code :12MIE 21 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - Review of Basic Probability and Statistics –Simulation components, State of a

system, Simulation procedure, Simulation inventory models, queuing models, Reliability models

and lead time demand models.

Unit II

Random number generators, tests for random numbers, Generating Random Variates,

Acceptance rejection techniques, selecting input probability distributions.

Unit III

Output Data Analysis for a Single System, Basic Simulation Modeling of terminating and non

terminating systems- selecting simulation software, features of Arena Simulation Software

Unit IV

Comparing Alternative System Configurations, Independent sampling with equal and unequal

variances, correlated sampling.

Variance-Reduction Techniques like antithetical variables, commpm random numbers, control

variates.

Unit V

Experimental Design, Sensitivity Analysis, and Optimization via simulation.

Simulation of Manufacturing Systems, material handling systems.

Text Books:

1. Law, A. M., and W. D. Kelton, Simulation modeling and analysis. Tata McGraw Hill,

2007

Reference Books

1. Averill M. Law, Michael G. McComas, SIMULATION OF MANUFACTURING

SYSTEMS, Proceedings of the 1997 Winter Simulation Conference ed. S. Andradóttir, K.

J. Healy, D. H. Withers, and B. L. Nelson, 1997

2. Banks, J., J. S. Carson, and B. L. Nelson. 1996. Discrete event system simulation. 2nd

edition,. Upper Saddle River, New Jersey: Prentice-Hall.

3. Law, A. M. 1997. How to select simulation software. Tucson, Arizona: Averill M. Law &

Associates.

29

Course Outcomes:

The students will be able to:

CO1: Understand and appreciate the concepts of simulation modelling. (PO: 3)

CO2: Apply the principles of random numbers to practical situations through various simulation

models. (PO:1, 3)

CO3: Conduct output analysis for termination and steady state simulations. (PO: 2)

CO4: Evaluate alternative system designs. (PO: 5)

CO5: Analyze various manufacturing applications using Arena Simulation software. (PO:3, 5)

30

Quantitative Techniques in Decision Making

Subject Code :12MIE 22 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction to Decision Making and Quantitative Techniques: Complexity of Real-life

problems, Models, Mathematical modeling process, Classification of mathematical models,

Solution procedures, Advantages and limitations, Role of Human Judgment.

Linear Programming: Introduction, Formulation and Graphical Solution

Unit II

Linear Programming (Continued): Simplex Method, Big-M Method, Two phase simplex

method.

Specially structured linear program: Transportation problems and assignment problems

Unit III

Sensitivity Analysis –Algebraic, Integer Programming – Cutting Plane Method (Gomory Cut)

Unit IV

Network models: PERT, CPM, Crashing Network economically, Resource leveling, Minimal

spanning tree algorithm

Unit V

Waiting Line models: Single and multi server models

Goal programming: Formulation of goal programming problems

Introduction to software packages for solving optimization problems

Text Book:

1. Taha, Hamdy A. Introduction to Operations Research, PHI Pvt Ltd., New Delhi 2003.

2. Anderson D.R., D.J. Sweeney and T.A Williams, Quantitative Methods for Business,

Cengage learning, 2006.

31

Reference Books:

1. M P Gupta and R B Khanan, Quantitative Techniques for Decision Making, PHI, 2011.

2. Anderson, Sweeney and Williams, quantitative Methods for business, Lengage Learning,

2006.

3. Ravindran, Philips and Solberg, Operations research Principles and Practice, John Wiley

and Sons, 1987.

4. Additional Material : as suggested in classes.

Course outcomes:

The graduate will be able to

CO1: Formulate the mathematical models for real life problems and use human judgment to

make informed decisions. (PO: 3)

CO2: Arrive at optimum solutions to practical problems by solving linear programming

problems. (PO: 3)

CO3: Conduct sensitivity analysis to aid in decision making and also obtain solutions to integer

programming problems. (PO: 3)

CO4: Represent the project in the form of a network and analyze the same to arrive at better

project management decisions. (PO: 5)

CO5: Analyze various queuing systems and also formulate the multi objective problems as goal

programming problems. (PO: 3)

32

Quality and Reliability Engineering

Subject Code :12MIE 23 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction to Quality and Reliability, Basic statistics, Evolution of Quality, Quality and

Reliability Mathematics, Statistical Process Control, Introduction and TQC Tools

Unit II

Control Charts for Attributes: Attribute Control Charts, p – Chart, np- Chart, C – Chart

Acceptance Sampling: Introduction, Types of sampling plans, Operating Characteristics Curve,

Double sampling plan.

Unit III

An overview of total quality Management: Definition TQM Concepts, Basic approach, The

Deming’s Philosophy, Gurus of total quality Management, The five principles of TQM, TQM

Organization.

Tool and Techniques of TQM: Introduction, Benchmarking and Competitive Analysis Quality by

Design.

Unit IV

Software Quality - Quality in Health Care –Quality Control in Health Care – Quality Control in

the Textile Industry – Quality Control in the Food Industry, case studies involving quality

problems

Unit V

Reliability Engineering Concepts - Bathtub Hazard Rate Concept and Reliability Basic

Formulas, Reliability Evaluation of Standard Configurations, Reliability Analysis Methods,

component reliability and system reliability.

Text Books:

1. Montgomery – Introduction to SQC, John Willey & sons – 2007.

2. Dhillon, B.S, Applied Reliability and Quality- Fundamentals, Methods and Procedures

Series: Springer Series in Reliability Engineering, 2007

3. Sigmund Halper, The assurance sciences : introduction to quality and reliability PHI

33

Reference Books

1. Hoang Pham, Recent Advances In Reliability And Quality In Design, Springer Series In

Reliability Engineering, 2008

2. Bentley John P, Introduction To Reliability And Quality Engineering, Addison – Wesley,

1999

Course outcomes:

The student should be able to

CO1: Appreciate the role and importance of statistical quality control and reliability in modern

industry. (PO:1)

CO2: Analyze the effects of variation on processes and utilize SPC tools for process control and

improvement. (PO:3)

CO3: Bridge the quality and managerial functions in reference to Quality and Reliability

Engineering. (PO:1)

CO4: Understand the application of Quality Engineering in various streams. (PO:5)

CO5: Understand the concept of reliability analysis methods and quality analysis methods.

(PO:4)

34

Work System Design

Subject Code :12MIE 24 Credits : 3 : 0 : 0 : 1

Prerequisites : Nil

Unit I

Introduction to Ergonomics - Methods Analysis, Graphical Productivity Analysis, Work

Methods Improvement.

Unit II

Measuring Productivity - Time Study, Standard Data Systems, Predetermined Time Systems,

Work Sampling, Physiological Work Measurement.

Unit III

Body Mechanics at Work: Risk Assessment and Design, User-Centered Workspace Design

Using Anthropometric Data

Unit IV

Static Work: Principles for Risk Assessment and Design, Repetitive Tasks: Risk Assessment and

Task Design

Unit V

Design and Evaluation of Manual Handling Tasks, Improving Productivity - Methods for

Increasing Productivity.

Text Books:

1. Bridger R S, Introduction to Ergonomics, Taylor and Francis, 2008

Reference Books:

1. Aft, Work Measurement and Methods, Wiley John and Sons, 2000

Course outcomes:

The student should be able to

CO1: Identity and apply methods to improve productivity at work place. (PO:3)

CO2: Provide good ergonomically suited working environment. (PO:4)

CO3: Identify the risks associated with repetitive working in a workplace. (PO:3)

CO4: Eliminate the risks identified with repetitive working. (PO:3)

CO5: Analyze and design the manual handling tasks to improve the productivity. (PO:3)

35

Elective - B

e-Commerce

Subject Code :12MIE 251 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction – Internet and Intranets

Building Blocks for e-commerce - Electronic Data Interchange, The UN/EDIFACT Standard,

The Internet and Extranets, Identification and Tracking Tools

Unit II

Reengineering for change - Business Process Reengineering, Management of Change

Unit III

Concerns for e-commerce growth - Legal Issues, Cyber Security, Cyber Crimes

Creating trust in the electronic environment - Information Technology Act, 2000, Public Key

Infrastructure, Electronic Payment Systems and Internet Banking

Unit IV

Formulating an Internet Strategy in a Networked World - The Internet as a Business Solution or

Pandora's Box. The Way Forward. Infomediaries and Business-to-Business Consortia. B2C,

B2B, B2G, and G2B. Business-to-Government E-commerce. Government-to-Business E-

commerce. Interorganizational Systems: B2C, Consortia, B2B, B2G, G2B.

Unit V

Special topics on e-Governance

Text Books:

1. Schneider, E-commerce: Strategy, Technology And Implementation, Cengage Learning

(Thompson ), 2008

Reference Books:

1. K K Bajaj, et al, E-commerce: The Cutting Edge Of Business, Tata McGraw Hill, 2004

2. Robert T. Plant, e-Commerce: Formulation of Strategy, Pearson Education, 2000

36

Course Outcomes:

The students should be able to

CO1: Thoroughly understand of e-commerce processes. (PO:3)

CO2: Understand the various changes of market and designing the Business Process

Reengineering. (PO:3)

CO3: Apply the legal issues in cyber security and cyber crimes involvement. (PO:5)

CO4: Create the various internet strategies in global market to provide business solutions.

(PO:5)

CO5: Analyze the fundamentals of e-governance system in 21st century. (PO:5)

37

Human Resource Management

Subject Code : 12MIE 252 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I Introduction to Human Resource Functions - Evolution of Human Resources Management in

India.

Man Power Planning: Uses and benefits, Man Power Inventory, Man Power Forecasting,

Methods of Man Power Forecasting. Case study

Unit II Acquiring Human Resources - Human Resource Planning, Retaining Human Resources - Job

Satisfaction, Work Motivation, Supervisory Behaviour, Organizational Change, Elements of

Performance Appraisal Case study

Unit III Developing Human Resources - Training and Development , Perception and Communication

organizational learning Rewarding Human Resources - Internal Mobility, Compensation

Management. Case study

Unit IV Quality of Working Life, Working conditions and Work Behaviour, HR Audit and Information

Systems Ethics and Human Resource Management. Case study

Unit V

Industrial Relations in India, e-HRM – Nature of e-HRM, e-HR activities, e-recruitment,

cautions, e-selection, e-performance management, e-compensation. Case study

Text Books:

1. Sarah Gilmore, Steve Williams, Human Resources Management, Oxford University Press, 2009

Reference Books 1. MirzaSaiyadain, Human Resources Management, Tata McGraw Hill, 2008

Course Outcomes:

The students will be able to:

CO1: Analyze the evaluation and function of HRM in India (PO:4)

CO2: Identify HRM planning, motivation, retaining and performance appraisal. (PO:5)

CO3: Design the appropriate training and development to the employ after analysing the training

needs and also rewarding system. . (PO:4)

CO4: Assess the quality of work life, working condition, behaviour and information system.

(PO:5)

CO5: Analyze the various industrial relation and ethics in HRM. (PO:4)

38

Design of Experiments

Subject Code : 12MIE 253 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Experiments with a Single Factor: The Analysis of Variance, Randomized Blocks, Latin

Squares, and Related Designs.

Unit II Introduction to Factorial Designs, The 2^k Factorial Design.

Unit III Blocking and Confounding in the 2^k Factorial, Two-Level Fractional Factorial Designs.

Unit IV Fitting Regression Models , Response Surface Methods : Method of Steepest Ascent, Analysis of

Second Order response Surface, Characterizing Response Surface.

Unit V Random Effects Model : Single Random factor, Nested Design : Two Stage Nested Design, M

Stage Nested Design (3 stages). Split Plot Design with Two Factors.

Text Books:

1. Douglas C. Montgomery, Design And Analysis Of Experiments, 8th Edition, 2012, Wiley

Reference Books:

1. Angela Dean, Daniel Voss, Design And Analysis Of Experiments, Springer, 2006

2. Douglas C. Montgomery, George C. Runger : Applied Probability&Statistics, 5th

Edition, Wiley, 2010

Course Outcomes:

The students will be able to:

CO1: Develop and Analyze Single Factor Model, Latin Square Designs. (PO: 3)

CO2: Develop and Analyze Two Level Design and Apply to real time Scenarios (PO: 3)

CO3: Develop and Design fractional factorial models and conduct analysis (PO:,3)

CO4: Develop Reponse surface models (PO: 3)

CO5: Analyze complex designs such as Random factors, Nested and Split Designs (PO: 3)

39

Artificial Intelligence and Expert Systems

Subject Code : 12MIE 254 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - Artificial Intelligence, Problems, Problem Spaces, and Search, Heuristic Search

Techniques

Knowledge Representation- Knowledge Representation Issues, Using Predicate Logic,

Representing Knowledge Using Rules, Symbolic Reasoning Under Uncertainty, Statistical

Reasoning, Weak Slot-and-Filler Structures, Strong Slot-and-Filler Structures, Knowledge

Representation Summary

Unit II Advanced Topics - Game Playing, Planning, Understanding, Natural Language Processing,

Parallel and Distributed AI, Learning, Connectionist Models, Common Sense

Unit III

Expert Systems, Perception and Action, Fuzzy Logic Systems, Neural Networks

Unit IV

Genetic Algorithms, Artificial Immune Systems

Unit V

AI and Expert Systems Applications in various industries

Text Books:

1. Rich Knight Nair, Artificial Intelligence, Tata McGraw Hill, 2008

Reference Books:

1. Artificial Intelligence and expert system, FederickWilfrid Lancaster, Linda,1990

Course Outcomes:

The students will be able to:

CO1: Identify and Interpret Various Artificial Intelligence methods to real time scenario.

(PO: 1, 3)

CO2: Develop Human Interactions with computers through successful use of AI techniques

(PO: 3)

CO3: Develop and Evaluate sound decision making systems and models through use of expert

System, fuzzy logic and neural networks (PO: 1, 3)

CO4: Apply and Evaluate Complex system through usage of GA and Artificial Immune System

Algorithm for complex problems (PO: 1, 3)

CO5: Apply and Evaluate AI Techniques to Industry related Problems. (PO:1, 3)

40

Advanced Topics in Quality Management Systems

Subject Code : 12MIE 255 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - Quality Management Concepts, The Total Quality Approach to Quality

Management. Quality and Global Competitiveness - Strategic Management: Planning and

Execution for Competitive Advantage

Unit II

Quality Management Aspects - Ethics, and Corporate Social Responsibility, Partnering and

Strategic Alliances. Quality Culture: Changing Hearts, Minds, and Attitudes, Customer

Satisfaction, Retention, and Loyalty

Unit III

Quality Management Adoption - Employee Empowerment, Leadership and Change, Team

Building and Teamwork, Effective Communication, Education and Training, Overcoming

Politics, Negativity, and Conflict in the Workplace. ISO 9000 and Total Quality: The

Relationship

Unit IV

Total Quality Tools - Problem Solving and Decision Making - Quality Function Deployment

(QFD) - Optimizing and Controlling Processes through Statistical Process Control (SPC)

Unit V

Implementing Total Quality Management - Continual Improvement - Six Sigma, Lean, and Lean

Six Sigma – Benchmarking - Just-in-Time Manufacturing

Text Books:

1. David L. Goetsch, Quality Management for Organizational Excellence: Introduction to Total

Quality, Prentice Hall, 2005

Reference Books:

1. Mark Brown, Baldrige Award Winning Quality: How to Interpret the Baldrige Criteria for

Performance Excellence, Taylor& Francis, 2008

Course Outcomes:

The students will be able to:

CO1: Plan and execute various strategies to obtain competitive advantage regarding product

quality. (PO: 3)

CO2 :Apply professional ethics and take up responsibility in upholding the quality culture of an

organization. (PO: 4)

CO3: Build and lead quality management teams trough effective communication. (PO: 4)

CO4: Apply total quality tools to solve quality related problems and also optimize the processes.

(PO: 3)

CO5: Apply the concepts of six sigma, lean six sigma, benchmarking and Jit for continual

improvement. (PO: 3)

41

Seminar - II

Subject Code : 12MIE 26 Credits : 0 : 2: 0 : 0

Prerequisites : Nil

Seminar will be evaluated based on:

Literature Review of emerging work in chosen area. Emphasis will be on modeling

and other Industrial Engineering tools and techniques

At least one case study review that demonstrates student ability to related theory to

application

Project/ Paper Write-up

Presentation

Course Outcomes:

The students will be able to:

CO1: Identify emerging technological areas/tools in engineering. (PO: 3)

CO2: Collect data from reputed peer revived international journals and interpret them. (PO: 4)

CO3: Prepare an effective power point presentation case study discussion. (PO: 1, 2)

CO4: Construct a feasible technical report / project document. (PO: 2)

42

Systems Simulation and Modeling Lab

Subject Code :12MIEL27 Credits : 0 : 0 : 1 : 0

Prerequisites : Nil

Laboratory Exercises

List of experiments

1. Introduction to Simulation Packages

2. Understanding the Simulation Package

3. Identifying probability distributions for given data

4. Building simulation models for manufacturing operations (Electronicassembly –With Basic

templates)

5. Building simulation models for manufacturing operations (Electronicassembly –With

Common templates)

6. Building simulation models for manufacturing operations with transportSystem

7. Building simulation models for manufacturing operations with layout

8. Building simulation models for manufacturing operations with layout and TransportSystem

9. Building simulation Models for Banking service ( Bank teller problem)

10. Building simulation Models for Mortgage application problem

11. Building simulation Models for food processing problem

12. Building simulation Models for Post office animation

13. Statistical Analysis of Simulation models ( input analysis)

14. Statistical Analysis of Simulation models (output analysis)

Text Books:

1. Law, A. M., and W. D. Kelton, Simulation modeling and analysis. Tata McGraw Hill,

2007

Reference Books:

1. Averill M. Law, Michael G. McComas, SIMULATION OF MANUFACTURING

SYSTEMS, Proceedings of the 1997 Winter Simulation Conference ed. S. Andradóttir, K.

J. Healy, D. H. Withers, and B. L. Nelson, 1997

2. Banks, J., J. S. Carson, and B. L. Nelson. 1996. Discrete event system simulation. 2nd

edition,. Upper Saddle River, New Jersey: Prentice-Hall.

3. Law, A. M. 1997. How to select simulation software. Tucson, Arizona: Averill M. Law &

Associates.

43

Course Outcomes :

Students should be able to

CO1: Create Simulation Model for various real time scenarios (Manufacturing, Servicing

Industry, Health Care, Retail Sectors) using Arena. (PO:3)

CO2: Conduct Analysis for various real time scenarios using Arena software (PO :3)

CO3 : Evaluate alternative system designs using Arena Software(PO:3)

44

Work System Design Lab

Subject Code: 12MIEL28 Credits: 0 : 0 : 1 : 0

Prerequisites : Nil

Laboratory

List of experiments

1. Application of various Recording techniques

2. Determination of standard time for various operations

3. Determination of standard time for simple operation using Timer Pro Software

4. Rating practices

5. Measurement of parameters (heart beat rate, calorie consumption) using walking

simulator

6. Measurement of parameters (heart beat rate, calorie consumption, revolutions per minute)

using Ergometer

7. Conduction of work sampling in office environment to determine office utilization.

8. Effect of noise, light and heat on human efficiency in work environment.

9. Productivity improvement techniques

Text Books:

1. Bridger R S, Introduction to Ergonomics, Taylor and Francis, 2008

Reference Books:

1. Aft, Work Measurement and Methods, Wiley John and Sons, 2000

Course Outcomes :

Students should be able to:

CO1: Identify areas where work study tools and techniques can be applied. (PO:3)

CO2: Apply the tools and techniques to various simulated scenarios and real life problems in

industry and society. (PO:2,3)

CO3: Create novel designs of work place and other areas where improvement can be applied

with perspective of various constraints faced in real life situation at society and industry

level. (PO:1,2,3)

45

III SEMESTER

46

Supply Chain Management

Subject Code :12MIE 31 Credits : 4 : 1 : 0 : 0

Prerequisites : Nil

Unit I

Introduction to Supply Chains, Network Planning, Inventory Management and Risk Pooling,

Supply Contracts

Unit II

The Value of information, Information Technology and Business Processes, Supply Chain

integration and Distribution strategies

Unit III

Strategic alliances, Procurement and Outsourcing Strategies, Global Logistics and Risk

Management

Unit IV

Coordinated product and supply chain design, Customer Value and Smart Pricing

Unit V

Simulation – Beer Game and Risk pool game, Local Issues in SCM

Text Books:

1. Simchi-Levi David, Designing And Managing The Supply Chain (with Student CD), 3/e,

Tata McGraw Hill, 2007

Reference Books

1. Managing the supply chain, David Simchi-Levi,2004

Course Outcomes:

The student will be able to

CO1: Understand the role of supply chain in driving an economy/business. (PO:3)

CO2: Develop strategic alliance, and build a proper information technology in organization to

enhance the service level. (PO:4)

CO3: Apply the tools and techniques taught in the course to create models for building a good

supply chain. (PO:3)

CO4: Analyze the various pricing system based on their brands and relationship to the global

and international forum. (PO:4)

CO5: Simulate the risk pool game and identify the various local issues in SCM. (PO:3)

47

Management Accounting and Finance

Subject Code : 12MIE 32 Credits : 4 : 1 : 0: 0

Prerequisites : Nil

Unit I

Basic records, Preparing financial statements Financial Accounting Conventions, trading

account, profit and Loss account and Balance sheet concepts.

Unit II

Balance sheet concepts with Adjustment entries, Inventory valuation financial ratios, Sources of

funds, Cash Flow statements, Simulation of cash flow

Unit III

Cost accounting, Cost classification, Allocation and absorption of cost, Relevant costs,

Allocation joint costs. Design of historical and standard costing systems, Overhead cost control

Managerial Economics concept, process costing, Activity Based Costing.

Unit IV

Budgeting and Budgeting Control: Sales budget, production budget, raw materials purchasing

budget, selling and administrative expense budget, cash budget, Flexible Budget, Master budget

Unit V

New Trends in Managerial Accounting. Working capital management

Text Books

1. Guruprasad Murthy, Financial Accounting, Himalaya, 2009

2. Anthony A. Atkinson, Robert S. Kaplan, S. Mark Young, Ella Mae Matsumura,

Management Accounting, Prentice Hall, 2007.

Reference Books

1. Hansen Don R, Mowen M Maryanne, Management Accounting, Cengage Learning, 7th

Edition, 200742 .

48

Course Outcomes:

Students will be able to

CO1: Demonstrate the concept of accounting principles for obtaining comprehensive

solutions in accounting.(PO: 1, 5)

CO2: Apply the accounting ratios knowledge to solve industrial problems. (PO: 1, 5)

CO3: Exhibit knowledge about the cost of product, process and their controlling factors to solve

industrial problems.(PO: 1, 5)

CO4: Demonstrate the importance of budgeting and its methods to control finance in industry.

(PO: 1, 5) CO5: Apply the knowledge of working capital requirement and its management in industry.

(PO: 1,5)

49

Elective - C

Marketing Management

Subject Code :12MIE 331 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction to Marketing Management, Analyzing Marketing Opportunities

Unit II

Consumer and Business buying behaviour, Dealing with competition and selecting target

markets

Unit III

Marketing strategy – positioning and differentiating the offering, Shaping the market offering –

Designing services, Pricing strategy

Unit IV

Branding Strategy, Managing the Sales Force

Unit V

Managing marketing programs - Designing and Managing Value Networks and Marketing

Channels, Managing Retailing, Wholesaling, and Market Logistics, Managing Advertising, Sales

Promotion, Public Relations, and Direct Marketing.

Text Books:

1. Philip Kotler, Kevin Keller, Marketing Management, Prentice Hall, 2008

Reference Books

1. Marketing Management, David L Loudon, David Loudon, Rober Stevens, 2004

Course outcomes:

Students will be able to

CO1: Design and develop marketing solutions for current retail environments by employing

appropriate marketing strategies. (PO: 1)

CO2: Apply knowledge of basic management skills to maximize employee productivity.

(PO: 2, 3) CO3: Evaluate and apply marketing practices to create measurable results to meet marketing

objectives. (PO: 3)

CO4: Analyze the competitors, Their Strategies, their Objectives, Strengths and weaknesses.

(PO: 2, 4)

CO5: Devising a branding strategy for Value networks. (PO: 4, 5)

50

Lean Manufacturing Systems

Subject Code : 12MIE 332 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction to lean manufacturing systems and cell design, Steps to lean production

Unit II

Manufacturing system design, Axiomatic design principles, Manned interim manufacturing and

assembly cells

Unit III

Setup reduction, Integrated quality control, Integrated reliability

Unit IV

Refining lean production, Production and inventory control, Making the vendors lean

Unit V

Ergonomics in cell design, Automation and autonomation, Simulation, The Toyota production

system today

Text Book:

1. Ronald G. Askin, Jeffrey B. Goldberg, Design And Analysis Of Lean Production Systems,

Wiley, 2007

Reference Book

1. JT Black, Steve L. Hunter, Steve L. Hunter, Lean Manufacturing Systems and Cell Design,

Society of Manufacturing Engineers, 2003

Course Outcomes:

Students will be able to :

CO1 : Under stand the Fundamentals of Lean manufacturing. (PO: 1, 3)

CO2 : Design a basic lean manufacturing system. (PO :1,2)

CO3 : Integrate a lean system in to an industry. (PO : 3,4)

CO4 : Refine a lean manufacturing system. (PO : 2,3)

CO5 : Design a basic automation system. (PO : 3,4)

51

Enterprise Resource Planning (ERP)

Subject Code : 12 MIE 333 Credits : 4 : 0 : 0: 0

Prerequisites : Nil

Unit I

Introduction - Enterprise-An Overview, Basic ERP Concepts , Justifying ERP Investments, Risks

of ERP. ERP and Technology - Business Intelligence (BI), E-Business and E-Commerce,

Business Process Reengineering (BPR), Data Warehousing, Data Mining, On-line Analytical

Processing (OLAP)

Unit II

ERP Linkages - Product Life Cycle Management (PLM), Supply Chain Management (SCM),

Customer Relationship Management (CRM), Advanced Technology and ERP Security

Unit III

ERP Modules – Finance, Manufacturing, Human Resources, Plant Maintenance, Materials

Management, Quality Management, Marketing, Sales, Distribution & Service. ERP Players -

SAP AG, PeopleSoft, JD Edwards, Oracle Corporation, QAD Inc., SSA Global, Lawson

Software, Epicor, Intuitive

Unit IV

ERP Implementation Decision Making – ERP Vendor selection - Implementation Challenges -

ERP Implementation (Transition) Strategies - ERP Implementation Life Cycle. ERP

Implementation Aspects - Pre-implementation Tasks - Requirements Definition -

Implementation Methodologies - Package Selection - ERP Project Teams - Process Definition -

Dealing with Employee Resistance - Contracts with Vendors, Consultants and Employees -

Training & Education- Project Management & Monitoring - Success & Failure Factors of an

ERP Implementation

Unit V

ERP Post Implementation Activities - Operation and Maintenance of the ERP System -

Measuring the Performance of the ERP System - Maximizing the ERP System. Future Directions

and Trends in ERP - Enterprise Application Integration (EAI), ERP and E-Business, ERP,

Internet, ERP II, ERP and Total Quality Management

Text Books:

1. Bret Wagner, Ellen Monk, Enterprise Resource Planning, Cengage Learning, 2008

52

Reference Books:

1. Alexis Leon, ERP Demystified, Tata McGraw Hill, 2007

2. Grant Norris, Kenneth M. Hartley, James R. Hurley, E-business And Erp: Transforming The

Enterprise, John Wiley & Sons, 2000

Course Outcomes:

Students will be able to:

CO1: Identify the fundamental features of ERP. (PO: 3)

CO2: Design basic accounting and procurement systems in ERP. (PO: 3)

CO3: Design basic fulfillment and production systems in ERP. (PO: 3)

CO4: Design basic inventory and materials systems in ERP. (PO: 3)

CO5: Implement a basic ERP system in an industry. (PO: 3)

53

Financial Management

Subject Code : 12MIE 334 Crédits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - An Overview of Financial Management. Introduction to Contemporary Financial

Management - Contemporary Financial Environment - Financial Statement Analysis

Unit II

Foundations of Financial Management - Concept of Time - Concept of Return and Risk -

Concept of Value. Strategic Financial Decisions - Cost of Capital - Capital Budgeting -

Estimating Cash Flows - Analysis in Capital Budgeting - Leverage - Capital Structure Decisions

- Dividend Decisions

Unit III

Operating Financial Decisions - An Overview of Working Capital Decisions - Inventory

Management - Receivables Management - Cash Management - Financing Current Assets

Unit IV

Financial Management in India - New Dimensions in Indian Corporate Finance - Recent Trends

in Indian Corporate Finance. International Financial Management - Global Financial

Environment - What Moves Exchange Rates - The Foreign Exchange Market

Unit V

Introduction to Currency Futures and Options - Understanding Financial Risk - Management of

Currency Exposure. Interest Risk Management - Currency and Interest Rate Swaps - Forward

Rate Agreements, Interest Rate Futures and Interest Rate Options

Text Books:

1. Prakash G Apte, International Finance, Tata McGraw Hill, 2008

Reference Books:

1. Rajesh Kothari, Bobby Dutta, Contemporary Finance Management, Macmillan Publishers

India, 2005

Course Outcomes:

Students will be able to

CO1: Demonstrate the concept of financial management to solve contemporary issues in

industry. (PO: 1, 5)

CO2: Exhibit the knowledge of right decision to solve industrial problems. (PO: 1, 5)

CO3: Exhibit knowledge about the cash management and management of current asset.(PO:1,5)

CO4: Demonstrate the importance of finance and controlling finance in Indian industry.

(PO:1, 5) CO5: Apply the knowledge of Risk management to manage interest. (PO: 1, 5)

54

Computational Methods for Queuing Networks

Subject Code : 12MIE 335 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Introduction - Modeling Automated Manufacturing Systems - Performance Modeling Tools.

Markov Chain Models - Memoryless Random Variables - Stochastic Processes in Manufacturing

- Discrete Time Markov Chain Models - Continuous Time Markov Chain Models - - Absorbing

States and Modeling of Deadlocks - Semi-Markov Processes in Manufacturing

Unit II

Queuing Models - Queues: Notation and Examples - The M/M/1 Queue - The M/M/m Queue -

Batch Arrival Queuing Systems - Queues with General Distributions - Queues with Breakdowns

Unit III

Queuing Networks - Open Queuing Networks - Closed Queuing Networks - Product Form

Queuing Networks - Queuing Networks with Blocking. Analysis of Queues - Approximate

Analysis of Queuing Systems - Analysis of a Flexible Machine Center - Per formability Analysis

Unit IV

Petri Net Models - Classical Petri Nets - Stochastic Petri Nets - Generalized Stochastic Petri Nets

- Deadlock Analysis using Petri Nets - Extended Classes of Petri Nets - Integrated Petri Net -

Queuing Network Models

Unit V

Applications - Automated Manufacturing Systems - Performance Measures - Computer

Controlled Machines - Material handling Systems - Plant Layout- Flexible Manufacturing

Systems - Computer Control Systems - Modeling of Kanban Systems

Text Books:

1. Viswanadham N, Narahari Y, Performance Modeling of Automated Manufacturing Systems,

Prentice Hall of India Pvt Ltd, 2005

Reference Books

1. Computer systems performance evaluation and prediction, Paul J Fortier, 2006

Course Outcomes:

Students will be able to:

CO1: Analyze discrete time and continuous time marker chain models in manufacturing. (PO: 3)

CO2: Analyze different types of queues along with their breakdowns. (PO: 3)

CO3: Conduct performability analysis for different types of queue networks. (PO: 3)

CO4: Identify the type of Petri Net models and analyze the same . (PO: 3)

CO5: Analyze the queues in manufacturing, material handling systems. (PO: 3, 4)

55

Elective - D

Software Quality Assurance

Subject Code : 12MIE 341 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

Quality assurance context - Challenges of software quality - IS quality - Define software quality

Unit II

Define a software quality model - Software Quality Assurance - Describe components of a

software quality assurance system

Unit III

Software quality plans -Relate software quality to the software development life-cycle -

SQA management

Unit IV

Describe process controls - Agile, MSF, & CMMI - Quality metrics -Quality costs - SQA

economics -SQA standards - Describe common standards - IEEE standards

Unit V

SQA tools & techniques – Testing - Quality procedures - Runtime assurances, requirements

monitoring - Open source

Text Books:

1. Software Quality Assurance: From Theory to Implementation, Daniel Galin, Addison

Wesley, 2003

Reference Books

1.Implementing the Capability Maturity Model by James R. Persse John Wiley & Sons © 2001

Course Objectives:

Students will be able to:

CO1: Identify the unique characteristics of software as a product and as production process that

justify separate treatment of its quality issues.(PO:3)

CO2: Understand the steps of software product development and identify the challenges and

opportunities of software quality assurance(PO:5)

CO3: Recognize the characteristics of the environment where professional software development

and maintenance take place. (PO:5)

CO4: Explain the standards governing the software development process. (PO:4)

CO5: Aware of tools and techniques used for software product testing. (PO:3)

56

Data Warehousing and Data Mining

Subject Code : 12MIE 342 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

DW methodology - DW architectures - The DW development processes: Logical and physical

DW

Unit II

DW data modeling - ETL, Data access, Data quality - DM - Query tools

Unit III

State-of-the-art in DM tools and technologies

Unit IV

DM and Business intelligence – From findings to application

Unit V

From research to a mature technology – technological artifact - DW, DM and beyond.

Text Books:

1. Berry, M.J.A. and Linoff G.S. (2004). Data Mining Techniques: For Marketing, Sales, and

Customer Relationship Management (paperback),. 2nd Edition. ISBN: 0-471-47064-3, Wiley

Reference Books

1. Sperley, Eric. (1999) The Enterprise Data Warehouse: The Planning, Building &

Implementation Volume I: 1st Edition. ISBN 0139058451, Prentice Hall.

Course Objectives:

Students will be able to:

CO1: Identify the data ware housing and methodologies and architecture .(PO: 3)

CO2: Understand data modelling and data mining quarry tools (PO: 3)

CO3: Application of state of the arts in mining tools and technologies. (PO: 4)

CO4: Aware of business intelligence from findings to applications. (PO: 1)

CO5: Apply various data modelling techniques to any given business process. (PO:4)

57

Cyber Security

Subject Code : 12MIE 343 Credits : 4 : 0 : 0 :0

Prerequisites : Nil

Unit I

Security Concepts and Mechanisms -Networking Concepts Overview -Information Security

Concepts -Security Threats and vulnerabilities.

Unit II

Cryptography -Security Management -Security Management Practices

Unit III

Network Security -Access Control and Intrusion Detection -Server Management and Firewalls -

Security for VPN and Next Generation Networks

Unit IV

System and Application Security - Security Architectures and Models - System Security - OS

Security

Unit V

Security Laws and Standards - Cyber Laws

Text Books:

1. Cyber Security Essentials - James Graham (Editor), Ryan Olson (Editor), RickHoward

(Editor)Auerbach Publications; 1 edition ,2010

Reference Books

1. Cyber Security And Global Information Assurance: Threat Analysis And Response

Solutions (Hardcover) by Kenneth J. Knapp (Editor) Publisher: Information Science

Publishing, 2010

2. Cyber Laws, Shikha Singh, Global India Publications Pvt Ltd., 2011

Course Objectives:

Students will be able to:

CO1: Apply to knowledge of basic security and networking concepts to real time problems

(PO:1,3)

CO2: Apply knowledge of Security Management principles to Real Life Problems (PO:1,3)

CO3: Develop Network Security Systems and Future Systems for various Problems (PO: 1,3)

CO4: Create Security System Architecture and Models (PO:1,3)

CO5: Apply Knowledge of Securtiy Laws for Various Real time problems (PO:1,3)

58

Information Technology – Strategy and Management

Subject Code : 12MIE 344 Credits : 4 : 0 : 0 : 0

Prerequisites : Nil

Unit I

The Challenges of Managing Information Systems and Technology -Strategic Information

Systems Plan: IT Strategy and Organization Strategy-Chief Information Officer (CIO) and The

Information Services Resource

Unit II

Organization Issues in Information "Systems Development Life Cycle” - Insuring IT

productivity and high quality performance through use of best practices

Unit III

Organization and IT Security Management Processes- Information Technology Acquisition-

Vendor Relationships and Contract Negotiation

Unit IV

Information Asset Controls, Data Center Management, and IT Outsourcing -Project Management

A Portfolio Approach to Managing IT Project

Unit V

Disaster Planning, (Business Continuity Planning) - Evaluation of I.S. Strategic Plans and

Business Continuity Preparedness Plans

Text Books:

1. Corporate Information Strategy and Management Text and Cases; Linda M. Applegate,

Robert D. Austin, and F. Warren McFarlan, -McGrawHill/Irwin; 7th edition (2006)

Reference Books

1. IT Strategy- James D. McKeen, Heather Smith, Prentice Hall; 2 edition, 2011

Course Outcomes:

Students will be able to:

CO1: Understand the fundamentals of an information system in an industry. (PO: 3)

CO2: Solve organisational problems using information systems. (PO: 5)

CO3: Manage security issues of information systems. (PO: 5)

CO4: Manage projects using information systems. (PO: 5)

CO5: Prepare long-term plans using information systems. (PO: 5)

59

Dissertation Preliminaries

Subject Code : 12MIE 35 Credits : 0 : 2 : 4: 0

Prerequisites : Nil

The Project preparatory work will be evaluated based on:

Company Information

Appreciating the different aspects of the business

Narrowing down to the specific problem

Its importance and relevance / significance

Project problem definition

Scope – In Scope, Out of Scope

Assumptions

Project Plan

Course Outcomes:

Students will be able to:

CO1: Identify engineering problems area. (PO: 1,2)

CO2: Define project methodology/approach. (PO: 2,3)

CO3: Evaluate various engineering tools / techniques. (PO: 4, 5)

60

IV SEMESTER

Dissertation

Subject Code : 12MIE 41 Credits : 0 : 0 : 24 : 0

Prerequisites : MIE35

Final Project work will be evaluated based on:

Project problem definition

Scope – In Scope, Out of Scope

Assumptions

Project Plan

Project Preparatory Work and

Data Gathering

Inferences

Literature Survey

IE Concepts and Methodology used

Recommendations

Analysis including CBA

Implementation Methodology

Results

Original Contribution of the project

Project Report Depth and Quality

Project Presentation

Course Outcomes:

Students will be able to:

CO1: Collect and Interpret engineering data. (PO: 1)

CO2: Implement engineering tools / techniques. (PO: 2)

CO3: Validate the results obtained. (PO: 3, 4)

CO4: develop a technical report. (PO: 2)