Operations Research: An Introduction, 11th edition

Published by Pearson (July 6, 2022) © 2023

  • Hamdy A. Taha University of Arkansas

Pearson+ subscription

ISBN-13: 9780137625727
Operations Research: An Introduction
Published 2022

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards

Rental + Hardcover

ISBN-13: 9780137625864
Operations Research: An Introduction
Published 2022


  • A print text you can rent
  • Fulfilled by eCampus.com
  • Option to keep after rental expires

Operations Research uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.

The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.

  1. Overview of Operations Research, Analytics, and AI in Decision Making
  2. Modeling with Linear Programming
  3. The Simplex Method and Sensitivity Analysis
  4. Duality and Post-Optimal Analysis
  5. Transportation Model and Its Variants
  6. Network Models
  7. Advanced Linear Programming
  8. Stochastic Linear Programming
  9. Integer Linear Programming
  10. Heuristic and Constraint Programming
  11. Traveling Salesperson Problem (TSP)
  12. Dynamic Programming (DP)
  13. Inventory Modeling
  14. Yield Management (YM)
  15. Decision Analysis and Games
  16. Markov Chains
  17. Markovian Decision Process
  18. Queuing Systems
  19. Discrete Event and Monte Carlo Simulations
  20. Classical Optimization Theory
  21. Nonlinear Programming Algorithms
  22. Case Analysis


  1. Statistical Tables
  2. Partial Answers to Selected Problems
  3. AMPL Modeling Language
  4. Review of Vectors and Matrices
  5. Review of Basic Probability
  6. Forecasting Models

This publication contains markup to enable structural navigation and compatibility with assistive technologies. Images in the publication are fully described. The publication supports text reflow, is screen-reader friendly, and contains no content hazards known to cause adverse physical reactions.

Need help? Get in touch