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