Operations Research – Hillier, Liberman – 7th Edition


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 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 by helping to define the modern to teaching the current status of effectively at the introductory level. Over 33 years, much has changed in both the field and the pedagogical needs of the 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 Lancaster Prize (the prize awarded for the year’s most outstanding English-language publication of any kind in the field of operations research), receiving the following citation. “This is the latest edition of the textbllk that has introduced approximately one-half million students to the methods and models of Operations Research. While adding material on a variey 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 -Lieberman text has had on the of our field, not only in the United States but also around the world through its many foreign-language editions.”

As we enter a new millennium, the particular challenge for this new edition was to revise a book with deep roots in the 20th century so thoroughly that it would become fully suited for the 21st century. We made a special effort to meet this challenge, especially in regard to the and pedagogy in the book.

Table of Content

1 Introduction
2 Overview of the Operations Research Modeling Approach
3 Introduction to Linear Programming
4 Solving Linear Programming Problems: The Simplex Method
5 The Theory of the Simplex Method
6 Duality Theory and Sensitivity Analysis
7 Other Algorithms for Linear Programming
8 The Transportation and Assignment Problems
9 Network Optimization Models
10 Project Management with PERT/CPM
11 Dynamic Programming
12 Integer Programming
13 Nonlinear Programming
14 Game Theory
15 Decision Analysis
16 Markov Chains
17 Queueing Theory
18 The Application of Queueing Theory
19 Inventory Theory
20 Forecasting
21 Markov Decision Processes
22 Simulation

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