Operations Research
An Introduction
10th Edition
Published on 2. June 2016
Book
Hardback
848 pages
978-0-13-444401-7 (ISBN)
Description
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
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
More details
Person
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.
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.
Content
Brief Contents
What Is Operations Research?
Modeling with Linear Programming
The Simplex Method and Sensitivity Analysis
Duality and Post-Optimal Analysis
Transportation Model and Its Variants
Network Models
Advanced Linear Programming
Goal Programming
Integer Linear Programming
Heuristic and Constraint Programming
Traveling Salesperson Problem (TSP)
Deterministic Dynamic Programming
Inventory Modeling (with Introduction to Supply Chains)
Review of Basic Probability
Decision Analysis and Games
Probabilistic Inventory Models
Markov Chains
Queuing Systems
Simulation Modeling
Classical Optimization Theory
Nonlinear Programming Algorithms
Appendix A: Statistical Tables Appendix B: Partial Answers to Selected Problems
What Is Operations Research?
Modeling with Linear Programming
The Simplex Method and Sensitivity Analysis
Duality and Post-Optimal Analysis
Transportation Model and Its Variants
Network Models
Advanced Linear Programming
Goal Programming
Integer Linear Programming
Heuristic and Constraint Programming
Traveling Salesperson Problem (TSP)
Deterministic Dynamic Programming
Inventory Modeling (with Introduction to Supply Chains)
Review of Basic Probability
Decision Analysis and Games
Probabilistic Inventory Models
Markov Chains
Queuing Systems
Simulation Modeling
Classical Optimization Theory
Nonlinear Programming Algorithms
Appendix A: Statistical Tables Appendix B: Partial Answers to Selected Problems