| 1 |
1 |
Introduction and Overview |
Baker: 1 & 2.1 - 2.19 |
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2 |
LP (Linear Programming) - Introduction, Formulations and Geometry |
Baker: Appendix 2A |
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3 |
LP (Linear Programming) - Example |
Red Brand Case: Wilson, Robert B. Red Brand Canners. Stanford University, 1965. Available through Harvard Business School Publishers, Case No. OSA1. |
| 2 |
4 |
Networks - Introduction |
Baker: 3
Polaroid Example: Tactical Shipping and Scheduling at Polaroid with Dual Lead-Times (PDF) - Paper courtesy of Kermit Threatte and Stephen C. Graves, October, 2001. Used with permission. |
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5 |
LP (Linear Programming) - Example |
Filatoi Riuniti Case: at the end of Chapter 7 in Bertsimas, D., and R. Freund. Data Models, and Decisions: The Fundamentals of Management Science. Southwestern College Publishing, 2000. |
| 3 |
6 |
LP (Linear Programming) - Example: Tony Palumbo, Ford |
Ford Case: Carmelo Anthony Palumbo under the direction of Stephen C. Graves. Ford Pan-European Durable Containers. MIT Leaders for Manufacturing Program, 2002. |
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7 |
LP (Linear Programming) - Solution Methods and Sensitivity Analysis |
Baker: 5 |
| 4 |
8 |
Integer Programming - Formulations |
Baker: 6.1 - 6.27 |
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9 |
Integer Programming - Algorithms |
Baker: 6.28 - 6.33 |
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10 |
Integer Programming - Heuristics |
Baker: 8 (Skim) |
| 5 |
11 |
Debriefing of Inventory Simulation (with 15.761) |
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12 |
Stochastic LP (Linear Programming) |
Baker: 2.20 - 2.26
Red Brand (B) Case: Wilson, Robert B. Red Brand Canners (B). Stanford University, 1965. Available through Harvard Business School Publishers, Case No. OSA1. |
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13 |
Optimization in Practice: John Bean, Intel |
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| 6 |
14 |
Introduction, Simulation Process and Stochastic Modeling |
Simulation Module Outline ClearPictures, Inc. |
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15 |
Monte-Carlo Theory and Examples (with Crystal Ball®) |
Probability/Statistics Review 1 |
| 7 |
16 |
Ontario Gateway Case Discussion |
Ontario Gateway: at the end of Chapter 5 in Bertsimas, D., and R. Freund. Data Models, and Decisions: The Fundamentals of Management Science. Southwestern College Publishing, 2000. |
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17 |
Discrete-Event Framework and Examples (with SIMUL8®) |
Introduction to SIMUL8® (Adapted for 15.066J from some of SIMUL8 Corporation's training material.) |
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18 |
Theory of Constraints (Joint Session with 15.761) |
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| 8 |
19 |
Discrete-Event Case Discussion |
Discrete-Event Case: Human Genome Project (PDF) - Paper courtesy of Jérémie Gallien and Scott A. Rosenberg, MIT Sloan School of Management, 2003. Used with permission.
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20 |
Experimental Design and Simulation Analysis |
Probability/Statistics Review 2 |
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21 |
Advanced Modeling, Simulation-Based Optimization |
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| 9 |
22 |
Non Linear Programming - Formulations |
Baker: 7 |
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23 |
NLP (Non Linear Programming) - Examples and Algorithms |
DeWitt, Charles. Apollo Paper Company case study. MIT Sloan School of Management. Unpublished. |
| 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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