Syllabus
Schedule

Current Reading: Chapter 13

Excel Solver Walkthrough
Extra Excel Exercises [Solution]
Extra Exercise #1
Slides from 9/19
CPLEX Installation and Run Guide
CPLEX Getting Started Guide (from IBM)
Big M Cheat Sheet
Big M Step-by-Step Example
Slides from 11/5 (Transportation Simplex)
Hungarian Method Cheat Sheet
Slides from 11/12 (Hungarian Method)
Slides from 11/26 (Network Optimization)

Project Documents

Assignment 1 - Due 9/24 at 11:59pm [Rubric]
Assignment 2 - Due 10/19 at 11:59pm [Spread]
Assignment 3 - Due 11/30 at 11:59pm [Project Data] [Map] [Simulator]

Articles

Mason, McKenney, Carlson, Copeland. “Absolutely, Positively Operations Research: The Federal Express Story.” (for 9/5)
Schuster and Allen, “Raw Material Management at Welch’s, Inc.” (for 9/17)
Leachman, Kang, Lin. “SLIM: Short Cycle Time and Low Inventory in Manufacturing at Samsung Electronics.” (for 9/24)
Bjorndal, Herrero, Newman, Romero, Weintraub. “Operations Research in the Natural Resource Industry.” (for 10/15)
Ahmadi. “Managing Capacity and Flow at Theme Parks.” (for 11/5)
Tibben-Lembke. “Maximum Happiness: Amusement Park Rides as Closed Queueing Networks.” (for 11/5)
Caro et al. “Zara Uses Operations Research to Reengineer Its Global Distribution Process.” (for 11/12)
Kleindorfer, Singhal, Van Wassenhove. “Sustainable Operations Management.” (for 11/19)
Larson. “Perspectives on Queues: Social Justice and the Psychology of Queuing.” (for 11/26)
Gendron. “Scheduling Employees in Quebec’s Liquor Stores with Integer Programming.” (for 12/3)

HW Documents

HW#1 (Due 9/5)
HW#2 (Due 9/12)
HW#3 (Due 9/19)
HW#4 (Due 9/26)
HW#5 (Due 10/17)
HW#6 (Due 11/12)
HW#7 (Due 11/19)
HW#8 (Due 12/3)

Exams

Exam 1 (Due 10/29) [Formulations]

Project 3 Support

Articles
Wikipedia Entry - Generalized Assignment Problem
Wikipedia Entry - Assignment Problem
Wikipedia Entry - Simulated Annealing (for CS and CS inclined)
Wikipedia Entry - Approximation Algorithms (for CS and CS inclined)
Lecture Room Assignment Problem - via Complexity International
General Description and Approach for the Generalized Assignment Problem - Chapter from Martello and Toth “Knapsack Problems”
Yagiura and Ibaraki, “The Generalized Assignment Problem and Its Generalizations”
Shmoys and Tardos, “An approximation algorithm for the generalized assignment problem”
Juell, Perera, Nygard, “Application of a Genetic Algorithm to improve an existing solution for the General Assignment Problem”