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List & details of some of the subjects studied in M.tech Industrial engineering

curriculum

1. Computer aided facilities planning2. Advanced topics in production planning and control3. Advanced probability and statistics4. System simulation and modeling5. Advanced topics in operations research6. Work system design7. Design of experiments8. Supply chain management9. Lean manufacturing systems10.Quality and reliability engineering

1. Computer aided facilities planning- product, process and schedule design, material handlingconcepts, layout planning, warehouse operation design, design of manufacturing systems,

quantitative facilities planning models, facilities planning for various industries.

2. Advanced topics in production planning and control- Manufacturing productionsystem(MPC), Material requirement planning(MRP), distribution requirement planning, sales and

operations planning, capacity planning, enterprise resource planning, supply chain inventory

management, just in time, scheduling

3. Advanced probability and statistics- different types of discrete and continuous distributions,stochastic process, Poisson process, Markov chains, variance reduction techniques, ANOVA,

linear regression, hypothesis testing, multiple regression, mathematical expectation, moment

generation, multivariate techniques, factor analysis.

4. System simulation and modeling- building various simulation models, input analysis, outputdata analysis, modeling complex systems, experimental design, sensitivity analysis, simulation of

manufacturing systems.

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5. Advanced topics in operations research- linear programming, duality in linear programming,integer programming, goal programming, dynamic programming, forecasting techniques,

inventory management, replacement theory, PRET & CPM, queuing theory, decision theory,

Markov chains, investment analysis, and break-even analysis.

6. Work system design- ergonomics concepts, method analysis, graphical productivity analysis,time study, motion study, body mechanics at work, design and evaluation of manual handling

tasks.

7. Design of experiments- analysis of variance, experiments with single factor, factorial designs,2^k factorial design, three level and mixed level factorial designs, fractional factorial design,

fitting regression models, response surface methods, experiments with random factors.

8. Supply chain management- Network planning, inventory management, risk pooling,information technology in SCM, supply chain integration, strategic alliances in SCM, supply

chain design, simulation.

9. Lean manufacturing systems-basic concepts of lean manufacturing, steps in leanmanufacturing, manufacturing system design, axiomatic design principles, step-up reduction,

integrated quality control, production and inventory control, ergonomics in cell design,

automation and autonomation, simulation, Toyota production systems.

10.Quality and reliability engineering- quality and reliability mathematics, reliability engineeringconcepts, reliability analysis methods, quality engineering concepts, robot reliability, software

quality.