| WEEK # | SES # | TOPICS |
|---|---|---|
| 1 | 1 | Introduction and Overview |
| 2 | LP (Linear Programming) - Introduction, Formulations and Geometry | |
| 3 | LP (Linear Programming) - Example | |
| Tutorial | ||
| 2 | 4 | Networks - Introduction |
| 5 | LP (Linear Programming) - Example | |
| Tutorial | ||
| 3 | 6 | LP (Linear Programming) - Example: Tony Palumbo, Ford |
| 7 | LP (Linear Programming) - Solution Methods and Sensitivity Analysis | |
| Tutorial | ||
| 4 | 8 | Integer Programming - Formulations |
| 9 | Integer Programming - Algorithms | |
| 10 | Integer Programming - Heuristics | |
| Tutorial | ||
| 5 | 11 | Debriefing of Inventory Simulation (with 15.761) |
| 12 | Stochastic LP (Linear Programming) | |
| 13 | Optimization in Practice: John Bean, Intel | |
| Tutorial | ||
| 6 | 14 | Introduction, Simulation Process and Stochastic Modeling |
| 15 | Monte-Carlo Theory and Examples (with Crystal Ball®) | |
| Tutorial: Monte-Carlo Modeling and Crystal Ball® Tutorial | ||
| 7 | 16 | Ontario Gateway Case Discussion |
| 17 | Discrete-Event Framework and Examples (with SIMUL8®) | |
| 18 | Theory of Constraints (Joint Session with 15.761) | |
| Tutorial: Discrete-Event Modeling and SIMUL8® Tutorial | ||
| 8 | 19 | Discrete-Event Case Discussion |
| 20 | Experimental Design and Simulation Analysis | |
| 21 | Advanced Modeling, Simulation-Based Optimization | |
| Tutorial: Experimental Design and Simulation Analysis Tutorial | ||
| 9 | 22 | Non Linear Programming - Formulations |
| 23 | NLP (Non Linear Programming) - Examples and Algorithms | |
| 10 | 24 | Project Presentations |
| 25 | Project Presentations | |
| 26 | Project Presentations and Class Summary | |
| Tutorial |