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Operations Research: An Introduction, 11th edition

Published by Pearson (February 22, 2022) © 2023

  • Hamdy A. Taha University of Arkansas

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For courses in operations research.

Theory, applications, and computations of operations research

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

The 11th Edition introduces analytics, artificial intelligence, and machine learning topics. New stories, 3 new chapters, new case studies and sections bring readers up to date on the field.

Hallmark features of this title

  • All algorithmic details are explained using carefully-chosen numerical examples, rather than complex mathematical notations or theorems.
  • The focal points that unify algorithms within an optimization area are stressed to provide insight about the functionality of each algorithm.
  • Aha! Moments are math-free stories that show how classical algorithms are beneficial in practice.
  • 18 fully-developed case studies demonstrate the diverse real-life applications of operations research (OR).
  • Excellent support software for understanding the algorithmic details (interactive TORA and Excel spreadsheets) and for solving large practical OR problems (AMPL and Solver) is available on the text's companion website at www.pearsonhighered.com/taha

New and updated features of this title

  • NEW: Analytics, artificial intelligence, and machine learning topics are incorporated in a new Chapter 1 and a new case study.
  • NEW: Chapters on stochastic linear programming (8) and yield management(14).
  • NEW: Sections cover new two-phase method with no artificial variable (3.4.3); the 100% rule for LP sensitivity analysis (3.6.5); generalized simplex algorithm (4.4.2); concurrent changes in feasibility and optimality (4.5.4); transition from textbook to commercial software in post-optimal analysis (4.6); Benders' decomposition algorithm (9.2.3); and Bayesian probability with ML applications (15.3).
  • UPDATED: Chapter 19 on discrete event and Monte Carlo simulations.
  • UPDATED: Sections discuss sensitivity analysis (Section 3.6); post-optimal analysis (4.5); reversal heuristic (11.4.2) recursive nature of dynamic programming computations (12.1); recursive equation and principle of optimality (12.1.1); ergodic (Regular) Markov chain (16.4); and direct search method (21.1.1).
  • UPDATED: Topics from the 10th Edition companion website are now included in their respective chapters for easy reference,
     
  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

About our author

Hamdy A. Taha is Emeritus University Professor 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, including Chinese, Russian, and Spanish. He is also the author of book chapters, and his technical articles have appeared in European Journal of Operations Research, IEEE Transactions on Reliability, IIE Transactions, Interfaces, Management Science, Naval Research Logistics Quarterly, Operations Research, and Simulation.

Professor Taha was 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.

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