Thursday, May 9, 2019

Advanced Praise For Introduction to Operations Research (7th Edition)

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It now is 33 years since the first edition of this book was published in 1967. We have been humbled by having had both the privilege and the responsibility of introducing so many students around the world to our field over such a long span of time. With each new edition, we have worked toward the goal of meeting the changing needs of new generations of students by helping to define the modern approach to teaching the current status of operations research effectively at the introductory level. Over 33 years, much has changed in both the field and the pedagogical needs of the students being introduced to the field. These changes have been reflected in the substantial revisions of successive editions of this book. We believe that this is true for the current 7th edition as well.

The enthusiastic response to our first six editions has been most gratifying. It was a particular pleasure to have the 6th edition receive honorable mention for the 1995 INFORMS Lanchester Prize (the prize awarded for the year’s most outstanding Englishlanguage publication of any kind in the field of operations research), including receiving the following citation. “This is the latest edition of the textbook that has introduced approximately one-half million students to the methods and models of Operations Research. While adding material on a variety of new topics, the sixth edition maintains the high standard of clarity and expositional excellence for which the authors have long been known. In honoring this work, the prize committee noted the enormous cumulative impact that the Hillier-Lieberman text has had on the development of our field, not only in the United States but also around the world through its many foreign-language editions.”

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 and Sensitivity Analysis
CHAPTER 7: Other Algorithms for Linear Programming
CHAPTER 8: The Transportation and Assignment Problems
CHAPTER 9: Network Optimization Models
CHAPTER 10: Project Management with PERT/CPM
CHAPTER 11: Dynamic Programming
CHAPTER 12: Integer Programming
CHAPTER 13: Nonlinear Programming
CHAPTER 14: Game Theory
CHAPTER 15: Decision Analysis
CHAPTER 16: Markov Chains
CHAPTER 17: Queueing Theory
CHAPTER 18: The Application of Queueing Theory
CHAPTER 19: Inventory Theory
CHAPTER 20: Forecasting
CHAPTER 21: Markov Decision Processes
CHAPTER 22: Simulation

Author Details
Stanford University

Late of Stanford Universit

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