Calendar

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

Course Info

Learning Resource Types

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