System Optimization and Analysis for Manufacturing

Lecture Notes

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	Monte-Carlo Theory and Examples (with Crystal Ball®) (PDF)
7	16	Ontario Gateway Case Discussion (PDF)
	17	Discrete-Event 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, Simulation-Based 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)