| 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
Course Info
Instructors
As Taught In
Summer
2003
Level
Learning Resource Types
grading
Exams
notes
Lecture Notes
assignment
Problem Sets
grading
Projects with Examples
assignment
Written Assignments