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)

Course Info

Learning Resource Types

grading Exams
notes Lecture Notes
group_work Projects with Examples
assignment Problem Sets
assignment Written Assignments