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