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

1 | 1 | Introduction and Overview |

2 | LP (Linear Programming) - Introduction, Formulations and Geometry | |

3 | LP (Linear Programming) - Example | |

Tutorial | ||

2 | 4 | Networks - Introduction |

5 | LP (Linear Programming) - Example | |

Tutorial | ||

3 | 6 | LP (Linear Programming) - Example: Tony Palumbo, Ford |

7 | LP (Linear Programming) - Solution Methods and Sensitivity Analysis | |

Tutorial | ||

4 | 8 | Integer Programming - Formulations |

9 | Integer Programming - Algorithms | |

10 | Integer Programming - Heuristics | |

Tutorial | ||

5 | 11 | Debriefing of Inventory Simulation (with 15.761) |

12 | Stochastic LP (Linear Programming) | |

13 | Optimization in Practice: John Bean, Intel | |

Tutorial | ||

6 | 14 | Introduction, Simulation Process and Stochastic Modeling |

15 | Monte-Carlo Theory and Examples (with Crystal Ball®) | |

Tutorial: Monte-Carlo Modeling and Crystal Ball® Tutorial | ||

7 | 16 | Ontario Gateway Case Discussion |

17 | Discrete-Event Framework and Examples (with SIMUL8®) | |

18 | Theory of Constraints (Joint Session with 15.761) | |

Tutorial: Discrete-Event Modeling and SIMUL8® Tutorial | ||

8 | 19 | Discrete-Event Case Discussion |

20 | Experimental Design and Simulation Analysis | |

21 | Advanced Modeling, Simulation-Based Optimization | |

Tutorial: Experimental Design and Simulation Analysis Tutorial | ||

9 | 22 | Non Linear Programming - Formulations |

23 | NLP (Non Linear Programming) - Examples and Algorithms | |

10 | 24 | Project Presentations |

25 | Project Presentations | |

26 | Project Presentations and Class Summary | |

Tutorial |

## Calendar

## Course Info

##### Instructors

##### As Taught In

Summer
2003

##### Level

##### Topics

##### Learning Resource Types

*grading*Exams

*notes*Lecture Notes

*group_work*Projects with Examples

*assignment*Problem Sets

*assignment*Written Assignments