ENGINEERING OPTIMIZATION (4 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Apply technique and tools in engineering optimization for industrial problems; Formulate a mathematical model to represents industrial problems; Solve industrial problems using an engineering optimization technique.

Topics:

1. Introduction to engineering optimization and Linear Programming;
2. Simplex method and sensitivity analysis;
3. Integer Programming and Mix Integer Programming;
4. Goal programming;
5. Non-Linear Programming;
6. Dynamic programming;
7. Network optimization model;
8. Decision Analysis;
9. An introduction to metaheuristic for engineering optimization;
10. Simulation Modelling;
11. Enrichment Activity: Discussion about research – Topic: Scientific research;
12. Enrichment Activity: Guest Lecture – Topic: Any topic related to industrial engineering.