Due dates are shown for all of the course assignments, including the preparation of cases, group problem sets, takehome midterm exam, and group projects. A description of the group project, including examples of student work, is available on the projects page. Some assignments refer to the course textbook, which is Baker, Kenneth R., Optimization: A SpreadsheetBased Approach, Duxbury Press, 2003.
1  1  Introduction and Overview    2  LP (Linear Programming)  Introduction, Formulations and Geometry    3  LP (Linear Programming)  Example  Prepare Red Brand    Tutorial   2  4  Networks  Introduction    5  LP (Linear Programming)  Example  Prepare Filatoi Riuniti    Tutorial  Group Problem Set 1: LP (Linear Programming) (PDF)  3  6  LP (Linear Programming)  Example: Tony Palumbo, Ford  Prepare Ford Case   7  LP (Linear Programming)  Solution Methods and Sensitivity Analysis     Tutorial  Group Problem Set 2: LP (Linear Programming) (PDF)  4  8  Integer Programming  Formulations  Mid Term Due   9  Integer Programming  Algorithms    10  Integer Programming  Heuristics  Prepare TSP Challenge    Tutorial  Group Problem Set 3: LP (Linear Programming) & Networks (PDF)  5  11  Debriefing of Inventory Simulation (with 15.761)    12  Stochastic LP (Linear Programming)  Prepare Red Brand (B)   13  Optimization in Practice: John Bean, Intel     Tutorial  Group Problem Set 4: ILP (PDF)     Group Meeting with Instructor (between Sessions 1314)  6  14  Introduction, Simulation Process and Stochastic Modeling  Prepare Questions 1 to 3 in ClearPicture   15  MonteCarlo Theory and Examples (with Crystal Ball®)  Probability/Statistics Review 1 Checklist    Tutorial: MonteCarlo Modeling and Crystal Ball® Tutorial  Book Report Due (PDF)
Group Problem Set 5 (PDF)  7  16  Ontario Gateway Case Discussion  Ontario Gateway Case WriteUp   17  Discrete  Event Framework and Examples (with SIMUL8®)  Implement ClearPictures in SIMUL8®
Question 5 in ClearPictures, Inc.   18  Theory of Constraints (Joint Session with 15.761)  Group Project Proposal    Tutorial: DiscreteEvent Modeling and SIMUL8® Tutorial  Group Problem Set 6  8  19  DiscreteEvent Case Discussion  Human Genome Case WriteUp (Discrete Event Case)   20  Experimental Design and Simulation Analysis  Probability/Statistics Review 2 Checklist   21  Advanced Modeling, SimulationBased Optimization     Tutorial: Experimental Design and Simulation Analysis Tutorial  Group Problem Set 7  9  22  Non Linear Programming  Formulations    23  NLP (Non Linear Programming)  Examples and Algorithms  Prepare Apollo Paper Company  10  24  Project Presentations  Group Projects   25  Project Presentations  Group Projects   26  Project Presentations and Class Summary  Group Projects    Tutorial  Group Problem Set 8: NLP (Non Linear Programming) 

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