Some readings refer to sections of the course textbook, which is Baker, Kenneth R., Optimization: A Spreadsheet-Based Approach, Duxbury Press, 2003.
|WEEK #||SES #||TOPICS||READINGS|
|1||1||Introduction and Overview||Baker: 1 & 2.1 - 2.19|
|2||LP (Linear Programming) - Introduction, Formulations and Geometry||Baker: Appendix 2A|
|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.
|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.|
|7||LP (Linear Programming) - Solution Methods and Sensitivity Analysis||Baker: 5|
|4||8||Integer Programming - Formulations||Baker: 6.1 - 6.27|
|9||Integer Programming - Algorithms||Baker: 6.28 - 6.33|
|10||Integer Programming - Heuristics||Baker: 8 (Skim)|
|5||11||Debriefing of Inventory Simulation (with 15.761)|
|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.
|13||Optimization in Practice: John Bean, Intel|
|6||14||Introduction, Simulation Process and Stochastic Modeling||Simulation Module Outline ClearPictures, Inc.|
|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.|
|17||Discrete-Event Framework and Examples (with SIMUL8®)||Introduction to SIMUL8® (Adapted for 15.066J from some of SIMUL8 Corporation's training material.)|
|18||Theory of Constraints (Joint Session with 15.761)|
|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.
|20||Experimental Design and Simulation Analysis||Probability/Statistics Review 2|
|21||Advanced Modeling, Simulation-Based Optimization|
|9||22||Non Linear Programming - Formulations||Baker: 7|
|23||NLP (Non Linear Programming) - Examples and Algorithms||DeWitt, Charles. Apollo Paper Company case study. MIT Sloan School of Management. Unpublished.|
|26||Project Presentations and Class Summary|| |