Introduction to Operations Research, 10th Edition
- Length: 1010 pages
- Edition: 10
- Language: English
- Publisher: McGraw-Hill Science/Engineering/Math
- Publication Date: 2014-01-27
- ISBN-10: 0073523453
- ISBN-13: 9781259162985
- Sales Rank: #302868 (See Top 100 Books)
For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.
McGraw-Hill is proud to offer Connect with the tenth edition of Hillier’s, Introduction to Operations Research. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance – by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Hillier’s Introduction to Operations Research, tenth edition, includes the power of McGraw-Hill’s LearnSmart–a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.
Table of Contents
Chapter 1. Introduction
Chapter 2. Overview of the Operations Research Modeling Approach
Chapter 3. Introduction to Linear Programming
Chapter 4. Solving Linear Programming Problems: The Simplex Method
Chapter 5. The Theory of the Simplex Method
Chapter 6. Duality Theory
Chapter 7. Linear Programming under Uncertainty
Chapter 8. Other Algorithms for Linear Programming
Chapter 9. The Transportation and Assignment Problems
Chapter 10. Network Optimization Models
Chapter 11. Dynamic Programming
Chapter 12. Integer Programming
Chapter 13. Nonlinear Programming
Chapter 14. Metaheuristics
Chapter 15. Game Theory
Chapter 16. Decision Analysis
Chapter 17. Queueing Theory
Chapter 18. Inventory Theory
Chapter 19. Markov Decision Processes
Chapter 20. Simulation
Chapter 21. The Art of Modeling with Spreadsheets
Chapter 22. Project Management with PERT/CPM
Chapter 23. Additional Special Types of Linear Programming Problems
Chapter 24. Probability Theory
Chapter 25. Reliability
Chapter 26. The Application of Queueing Theory
Chapter 27. Forecasting
Chapter 28. Examples of Performing Simulations on Spreadsheets with Analytic Solver Platform
Chapter 29. Markov Chains
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