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