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Lecture Notes

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

Langrangean Example (PDF)
10 24 Project Presentations
25 Project Presentations
26 Project Presentations and Class Summary (PDF)



Crystal Ball® is a registered trademark and CB Predictor is a trademark of Decisioneering, Inc.
Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S. and/or other countries.
SIMUL8® is a registered trademark of SIMUL8 Corporation.