3 Review(s)

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 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 website will include solutions, 100 worked examples, articles, a testbank, companion software, and eight bonus chapters as well as case studies. Salient Features Updates have been made to the material 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. 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 Excel add-ins have been updated for Excel 2007. 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." 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.