Due dates are shown for all of the course assignments, including the preparation of cases, group problem sets, take-home 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 Spreadsheet-Based Approach*, Duxbury Press, 2003.

WEEK # | SES # | TOPICS | ASSIGNMENTS |
---|---|---|---|

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 13-14) | |||

6 | 14 | Introduction, Simulation Process and Stochastic Modeling | Prepare Questions 1 to 3 in ClearPicture |

15 | Monte-Carlo Theory and Examples (with Crystal Ball®) | Probability/Statistics Review 1 Checklist | |

Tutorial: Monte-Carlo Modeling and Crystal Ball® Tutorial | Book Report Due (PDF) Group Problem Set 5 (PDF) | ||

7 | 16 | Ontario Gateway Case Discussion | Ontario Gateway Case Write-Up |

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: Discrete-Event Modeling and SIMUL8® Tutorial | Group Problem Set 6 | ||

8 | 19 | Discrete-Event Case Discussion | Human Genome Case Write-Up (Discrete Event Case) |

20 | Experimental Design and Simulation Analysis | Probability/Statistics Review 2 Checklist | |

21 | Advanced Modeling, Simulation-Based 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) |