Operations Research: An Introduction, Global Edition, 11th edition

Published by Pearson (13 September 2024) © 2024

  • Hamdy A. Taha University of Arkansas

Purchasing Instructions

This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

Online exclusive offer

Operations Research: An Introduction, Global Edition+ subscription to Study & Exam Prep

Operations Research: An Introduction, Global Edition

Please select an option to purchase

In this eTextbook — More ways to learn

  • More support. Get AI help with personalised summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.
Requires a Course ID, a link from your instructor or an LMS link (Blackboard™, Canvas™, Moodle or D2L®)
Products list
£31.99
Instant access

In this eTextbook — More ways to learn

  • More support. Get AI help with personalised summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.

Title overview

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.

Table of contents

     
  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

Appendices

  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

Need help?Get in touch