Week 1: Definition of Industrial Engineering and Operations Research, Production Planning and Control, aggregate production planning, Product design (functional, aesthetic and human factors aspects), Job, batch, and flow production methods (Not much mathematics in this week; only covering basic concepts)
Week 2: Work study including ergonomics, Time and motion study, Inventory management: a brief introduction to Lean Manufacturing, JIT, MRP, MRP-II and digital supply chain management
Week 3: Total Quality Management (TQM), Statistical Process Control, Acceptance Sampling, six sigma
Week 4: Forecasting, Scheduling (only heuristic methods), Assignment problem (only Hungarian method)
Week 5: Line balancing, Breakeven analysis, A comparative exposure to Industry 4.0 and Industry 5.0
Week 6: Application of big data, analytics, Internet of Things in manufacturing, Smart factories, Digital Model, Digital Shadow and Digital twins (Contents will be descriptive only for providing exposure and indicating the application in industries; each of these topics need dedicated study of several hours. Here, the purpose is to provide directions to students. One small case study will be provided.)
Week 7: Linear programming, Graphical method, Simplex method
Week 8: Dual problem, Concept of unit worth of resource, Discussion on some exercise problems
Week 9: Transportation problems, unbalanced and degenerate transportation problems
Week 10: Network models: CPM and PERT
Week 11: Queuing theory: applications and definition of terms, exponential and Poisson distribution, Little’s law, single-server model, multiple-server model
Week 12: Simple deterministic and probabilistic inventory models
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