Operations Research: An Introduction, Global Edition, 10th edition

Published by Pearson (October 19, 2018) © 2019

  • Hamdy A. Taha University of Arkansas
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For courses in Operations Research.

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 10th 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.

  • 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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