WEEK #  SES #  TOPICS 

1  1  Introduction and Overview ( PDF) 
2  LP (Linear Programming)  Introduction, Formulations and Geometry ( PDF)  
3  LP (Linear Programming)  Example ( PDF)  
2  4  Networks  Introduction ( PDF) 
5  LP (Linear Programming)  Example ( PDF)  
3  6  LP (Linear Programming)  Example: Tony Palumbo, Ford 
7  LP (Linear Programming)  Solution Methods and Sensitivity Analysis ( PDF)  
4  8  Integer Programming  Formulations ( PDF) 
9  Integer Programming  Algorithms ( PDF)  
10  Integer Programming  Heuristics  
5  11  Debriefing of Inventory Simulation (with 15.761) 
12  Stochastic LP (Linear Programming)  
13  Optimization in Practice: John Bean, Intel  
6  14  Introduction, Simulation Process and Stochastic Modeling ( PDF) 
15  MonteCarlo Theory and Examples (with Crystal Ball®) ( PDF)  
7  16  Ontario Gateway Case Discussion ( PDF) 
17  DiscreteEvent Framework and Examples (with SIMUL8®)  
18  Theory of Constraints (Joint Session with 15.761)  
8  19  Discrete Event Case Discussion 
20  Experimental Design and Simulation Analysis ( PDF)  
21  Advanced Modeling, SimulationBased Optimization ( PDF)  
9  22  Non Linear Programming  Formulations ( PDF) 
23 
NLP (Non Linear Programming)  Examples and Algorithms (
PDF)
Langrangean Example ( PDF) 

10  24  Project Presentations 
25  Project Presentations  
26  Project Presentations and Class Summary ( PDF) 
Lecture Notes
Instructors:  
Course Number: 

Departments:  
As Taught In:  Summer 2003 
Level: 
Graduate

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