For over four decades, Introduction to Operations Research by Frederick Hillier has been theclassic 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 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.
The ninth edition introduces a new partnership with the Institute for Operations Research and Management (INFORMS). These two pillars of the OR world have come together to showcase some of the award-winning applications of operations research and integrate them with this text.
Careful updates have been made to the material and references throughout the book to reflect the current state of the art.
Application vignettes have been added that describe dramatic success stories regarding real applications of operations research to excite students about the relevance of the techniques they are learning.
The website provides access to the complete articles describing these applications of operations research for further reading.
New problems have been added that involve reading and commenting on one of the provided articles that describe a dramatic application of operations research.
A new section has been added on the important emerging topic of revenue management.
The chapter on the theory of the simplex method has been reorganized.
Further clarified the presentation in numerous spots throughout the book.
The Excel' add-ins have been updated for Excel' 2007.
All companion software available on the website has been updated to the most current version.
A chapter on metaheuristics; and sections on constraint programming, multiechelon inventory models for supply chain management, spreadsheet modeling, and Crystal Ball simulation software.
Extensive coverage of spreadsheets. The text features a web-only chapter on "The Art of Modeling with Spreadsheets" and textbook sections on "Formulating and Solving Linear Programming Models on a Spreadsheet," "Performing Sensitivity Analysis on a Spreadsheet," "Using Spreadsheets to Perform Sensitivity Analysis on Decision Trees," and "Performing Simulations on Spreadsheets."
Eight bonus chapters [including Crystal Ball, The Art of Modeling with Spreadsheets, among others] as well as additional case studies are available on the text website.
The website also features a test bank of moderately challenging questions and complete solutions as well as more than 100 worked examples.
A wealth of software options, including: the student version of MPL Modeling System and its solver CPLEX, complete with tutorials and examples from the text; the student version of LINDO and LINGO, complete with relevant examples from the text; our excellent tutorial software; Queueing Simulator; the powerful Crystal Ball package (including its OptQuest and CB Predictor modules) for simulation and forecasting; a variety of Excel' add-ins, spreadsheet formulations and solutions, and templates.
Frederick S Hillier, Stanford University Gerald J Lieberman, Late of Stanford University