People Innovation Excellence

ENGINEERING OPTIMIZATION (4 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Formulate the mathematical model of represent the industrial problems; Apply the tools and techniques of engineering optimization in industrial engineering problems; Solve the industrial engineering problems.

Topics:

  1. Introduction to Engineering Optimization
  2. Simplex Method & Duality Theory
  3. Dynamic Programming
  4. Integer Programming
  5. Non Linear Programming
  6. Case Study and Tutorial
  7. Meta-heuristics
  8. Game Theory
  9. Decision Analysis
  10. Markov Chains
  11. Queuing Theory
  12. Group Project Presentation
  13. Engineering Optimization Software – POM
  14. Case Study in Engineering Optimization
  15. Case Study and Tutorial
  16. Software Matlab Meta-heuristics
  17. Game Theory
  18. Queuing Theory

Published at : Updated

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