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IEMS 310: Operations Research


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Prerequisites

IEMS 201 or 302; EA 1 or Math 240

Description

Survey of operations research techniques. Linear programming, decision theory, stochastic processes, game theory.

  • This course is not open to Industrial Engineering majors.
  • May not be taken concurrently with or after IEMS 313.

 LEARNING OBJECTIVES

  • Students will develop modeling skills
  • Students will be able to identify when a model is more beneficial than another
  • Students will learn several methods to solve these problems
  • Students will learn analytical tools and when and how to use them
  • Students will sharpen critical thinking skills

 TOPICS

  • Optimization (linear, integer, and nonlinear programming*)
  • Network Models
  • Inventory Models
  • Markov Processes
  • Queuing Theory
  • Game Theory
  • Decision Theory*
  • Simulation*

*Time permitting, or by popular request

MATERIALS

Recommended:

  • Operations Research: Applications and Algorithms, 4th edition, Wayne Winston
  • Operations Research: An Introduction, 9th edition, Hamdy Taha
  • The Science of Decision Making: A Problem-Based Approach Using Excel, Eric V. Denardo

For references on linear algebra and probability, we suggest:

  • Linear Algebra and its Applications, 5th edition, David Lay, Steven Lay, & Judi McDonald
  • A First Course of Probability and Statistics, 3rd edition, Sheldon Ross
  • Probability and Statistics for Engineers and Scientists, 4th edition, Sheldon Ross

ADDITIONAL INFORMATION

Survey of operations research techniques using Excel. This course will focus on the use of mathematical models to support sound decision-making. We will explore a variety of model types, and spend much of our time talking about how to develop models, get solutions (usually through software), and interpret the solutions we obtain within the real word contexts that generate these models.