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B. Tech. Production & Industrial Engineering - Shiats.edu.in

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2. Problem formulation: Nature of eng<strong>in</strong>eer<strong>in</strong>g problems, needs statement, Hierarchial Nature ofsystems hierarchial nature of problem environment, Problem scope and constra<strong>in</strong>ts. A case Study;e.g.Heat<strong>in</strong>g duct <strong>in</strong>sulation-System High - Speed belt drive system.3. System Theories: System analysis View-po<strong>in</strong>ts, Black Box approach, state theory approach,component <strong>in</strong>tegration approach. Decision. Process approach; A case study: e.g. Automobile<strong>in</strong>strumentation panel system.4. System Model<strong>in</strong>g:Need for model<strong>in</strong>g, model<strong>in</strong>g types and purpose, L<strong>in</strong>ear graph model<strong>in</strong>g concepts,Mathematical Model<strong>in</strong>g, Concepts, A case study: e.g. A compound bar system.5. L<strong>in</strong>ear Graph Analysis: Graph model<strong>in</strong>g and analysis process, Path problem, Network flow problem,A case study: e.g. Alum<strong>in</strong>ium extrusion system.6. Optimization concepts: Optimization process, Motivation and freedom of choice goals andobjectives- Criteria, Methods of optimization analytical comb<strong>in</strong>atorial , subjective. A case study : e.g.Alum<strong>in</strong>ium extrusion system.7. System Evaluation: Feasibility assessment, plann<strong>in</strong>g horizon, time value of money, F<strong>in</strong>ancialanalysis. A case study e.g. manufacture of a maize-starch system.8. Calculus Methods for optimization: Model with one decision variable, Model with two decisionvariables, Model with equality constra<strong>in</strong>t, Model with <strong>in</strong>equality constra<strong>in</strong>t. A case study : e.g.Optimization of an <strong>in</strong>sulation - system.9. Decision Analysis: Elements of a decision problem, Decision model Probability a dignity function,Expected monetary value. Unity value, Baye's theorem : A case study : e.g. Installation of amach<strong>in</strong>ery.10. Systems Simulation: Simulation concepts, simulation models, Icons Analog Analytical, Wait<strong>in</strong>g L<strong>in</strong>esimulation, Simulation process problem def<strong>in</strong>ition, <strong>in</strong>put model construction, solution process,limitations of simulation approach : A case study : e.g. An <strong>in</strong>ventory control <strong>in</strong> a <strong>Production</strong>-Plant.Suggested Text Books / References:1. Design and Plann<strong>in</strong>g of <strong>Eng<strong>in</strong>eer<strong>in</strong>g</strong> systems- by D.D. Raredith, K.V. Wong, R.W. Woodhead, andR.R. Worthman, Prentice Hall Inc. Englewood Clifts, New Jersey.2. Design <strong>Eng<strong>in</strong>eer<strong>in</strong>g</strong> Design Method- by J.R. Dixon, Tata Mc.Graw-Hill Publish<strong>in</strong>g Company, NewDelhi.3. An Introduction to <strong>Eng<strong>in</strong>eer<strong>in</strong>g</strong> Design Method- by V. Gupta and P.N. Murthy, Tata Mc-Graw-Hill.4- <strong>Eng<strong>in</strong>eer<strong>in</strong>g</strong> Design- Robert Matousck, Blackie and Son Ltd. Glasgow.5. Optimization <strong>Tech</strong>niques- S.S. Rao.6. System Analysis and Project Management- Devid I Cleland, William R. K<strong>in</strong>g. McGraw-Hill.TOTAL QUALITY MANAGEMENTCourse Code ME-665 CREDIT : 3 (3-0-0)-Concept of quality, Quality control and quality management.-Science of quality. Human resources and quality-Quality Organization and management: Quality manual. Quality cost .Quality related tasks- Quality Information system : plann<strong>in</strong>g. Hardware-software-Statistical process control and quality development techniques-Controll<strong>in</strong>g quality through measurement and through count<strong>in</strong>g- Quality system and ISO 9000 series- Quality assurance. Reports on quality. Quality audit Quality tra<strong>in</strong><strong>in</strong>g-Newer quality management approaches-Quality ToolsROBOTICESCourse Code ME-670 CREDIT; 3(3-0-0)

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