Operations Research An Introduction

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  • Edition: 10th
  • Format: Hardcover
  • Copyright: 5/26/2016
  • Publisher: Pearson

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Supplemental Materials

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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
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For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.


Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.


With the Tenth Edition, the author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history. Based on input and submissions from OR students, professors, and practitioners, the author also includes scenarios that show how classical algorithms can be beneficial in practice. These entries are included as Aha! Moments with each dealing with stories, anecdotes, and issues in OR theory, applications, computations, and teaching methodology that can advance the understanding of fundamental OR concepts.


The Companion Website for Operations Research,  10/e (www.pearsonhighered.com/taha) provides valuable resources for both students and instructors. Resources include case studies that require students to employ OR tools from multiple chapters, Excel, TORA, and AMPL files as well as additional chapters and appendixes. A note about accessing the Companion Website:

  • Instructors should click the “Register” link and follow the on-screen directions to access the site. Instructors need a Pearson Education account to register, but do not require an additional Access Code.
  • Students can access the Companion Website by redeeming the Access Code included in the front of their new copy of Operations Research,  10/e. Students can also purchase Companion Website access online.


The Instructor Resource Center contains the Solutions Manual and PowerPoints of the art from the book. Instructors can download these resources from www.pearsonhighered.com/irc

Author Biography

Hamdy A. Taha is a University Professor Emeritus of Industrial Engineering with the University of Arkansas, where he taught and conducted research in operations research and simulation. He is the author of three other books on integer programming and simulation, and his works have been translated to numerous languages. He is also the author of several book chapters, and his technical articles have appeared in  operations research and management science journals.


Professor Taha was the recipient of university-wide awards for excellence in research and teaching as well as numerous other research and teaching awards from the College of Engineering, all from the University of Arkansas. He was also named a Senior Fulbright Scholar to Carlos III University, Madrid, Spain. He is fluent in three languages and has held teaching and consulting positions in Europe, Mexico, and the Middle East.


Table of Contents

1.     What Is Operations Research?

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.     Goal Programming

9.     Integer Linear Programming

10.  Heuristic and Constraint Programming

11.  Traveling Salesperson Problem (TSP)

12.  Deterministic Dynamic Programming

13.  Inventory Modeling (with Introduction to Supply Chains)

14.  Review of Basic Probability

15.  Decision Analysis and Games

16.  Probabilistic Inventory Models

17.  Markov Chains

18.  Queuing Systems

19.  Simulation Modeling

20.  Classical Optimization Theory

21.  Nonlinear Programming Algorithms

Appendix A: Statistical Tables

Appendix B: Partial Answers to Selected Problems

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