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An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised 13th Edition

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, R. Kipp Martin

  • Published
  • Previous Editions 2011, 2008, 2005
  • 896 Pages

Overview

Provide your students with a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted market leader for more than two decades, the new edition of this text now reflects the latest developments in Microsoft® Office Excel® 2010. All data sets, applications and screen visuals throughout this REVISED 13th Edition reflect the details of Excel 2010 to accurately prepare your students to work with today's latest spreadsheet tools. The authors continue to provide unwavering accuracy with the book's proven applications-oriented approach and timely, powerful examples. The book's hallmark problem-scenario approach introduces each quantitative technique within an applications setting. Students must apply the management science model to generate solutions and recommendations for management. A comprehensive support package offers all the written and online time-saving support you need with trusted solutions written by the text authors to ensure accuracy. Students gain an understanding of today's most useful software applications with premium online content, including online chapters, LINGO software and Excel add-ins. Student even receive a copy of the popular Microsoft® Project® Professional 2010 on the text's accompanying CD. Trust the world leader AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition to provide the support your course and today's students need. The Student Essential Site PAC (Printed Access Card) that comes with the new book includes: Case Files, Example Files, Problem Files, Tutorials, Solvertable, Palisade DecisionTools (StatTools), Excel Tutorial.

David R. Anderson, University of Cincinnati

Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College’s first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.

Dennis J. Sweeney, University of Cincinnati

Dr. Dennis J. Sweeney is a leading textbook author, Professor Emeritus of Quantitative Analysis, and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Dr. Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences, and other respected journals. Dr. Sweeney is the co-author of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a B.S. degree from Drake University, graduating summa cum laude. He received his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow.

Thomas A. Williams, Rochester Institute of Technology

Dr. Thomas A. Williams is a well respected textbook author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology, where he was the first chairman of the Decision Sciences Department. He taught courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Dr. Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Dr. Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.

Jeffrey D. Camm, Wake Forest University

Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University in Ohio, and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 30 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces, and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of Interfaces and has also served on the editorial board of INFORMS Transactions on Education.

R. Kipp Martin, University of Chicago

Dr. Kipp Martin is Professor of Operations Research and Computing Technology at the Graduate School of Business, University of Chicago. Born in St. Bernard, Ohio, he earned a B.A. in Mathematics, an MBA, and a Ph.D. in Management Science from the University of Cincinnati. While at the University of Chicago, Professor Martin has taught courses in Management Science, Operations Management, Business Mathematics, and Information Systems. Research interests include incorporating Web technologies such as XML, XSLT, XQuery, and Web Services into the mathematical modeling process; the theory of how to construct good mixed integer linear programming models; symbolic optimization; polyhedral combinatorics; methods for large scale optimization; bundle pricing models; computing technology and database theory. Dr. Martin has published in INFORMS Journal of Computing, Management Science, Mathematical Programming, Operations Research, The Journal of Accounting Research, and other professional journals. He is also the author of The Essential Guide to Internet Business Technology (with Gail Honda) and Large Scale Linear and Integer Optimization.
  • CHAPTERS ON OPTIMIZATION ARE NO LONGER LINKED TO SPECIFIC SOFTWARE FOR YOUR FLEXIBILITY. This edition's eight chapters on optimization no longer integrate output from the Management Science software, giving you the flexibility to emphasize any software. All figures illustrating computer output are generic and totally independent of software selection. Management Scientist software is still available, for those who wish to incorporate it, on the companion Website for this book.
  • UPDATES THROUGHOUT THIS EDITION INTEGRATE THE LATEST CHANGES IN MICROSOFT® OFFICE EXCEL® 2010. Rely on this updated edition to help students master the latest developments in the popular Excel® 2010 spreadsheet package. All Microsoft Excel®, Crystal Ball Pro, Microsoft Excel® Solver and TreePlan Data Sets as well as applications and screen images throughout this edition now reflect the most recent Excel® 2010 version.
  • PROVEN PROBLEM-SCENARIO APPROACH CLEARLY INTRODUCES EACH QUANTITATIVE TECHNIQUE WITHIN AN APPLICATION SETTING. A hallmark strength of this text, the author's problem-scenario approach introduces problems using the management science model. Students must apply the management science technique to each problem to generate a business solution or recommendation.
  • POWERFUL REAL EXAMPLES HIGHLIGHT PRACTICAL APPLICATIONS. Known for its practical orientation, this edition provides even more actual data drawn from real business that emphasizes applications as well as solid management science and quantitative methodology.
  • INTEGRATED COVERAGE OF TODAY'S MOST USEFUL SOFTWARE APPLICATIONS EQUIPS STUDENTS WITH CRITICAL SKILLS. This edition weaves coverage of the software applications most commonly used in business today to help you prepare students to use not only LINGO, but also Excel with quantitative add-ins. Coverage of LINGO and Excel with add-ins, Crystal Ball, TreePlan, and Premium Solver for Education appear in appendixes for your flexibility in coverage.
  • WEALTH OF ONLINE CONTENT PROVIDES ONLINE CHAPTERS ON ALGORITHMS, EXCEL TEMPLATES AND ADD-INS, AND SOFTWARE. Each new text provides an access code to open five online chapters focusing on solution algorithms; Excel worksheets and templates that correspond with text examples and models; the Excel add-ins Crystal Ball (time-limited) and TreePlan Excel add-in for Decision Analysis. Students can also access LINGO trial edition software and The Management Scientist 6.0.
  • UPDATED CHAPTER APPENDIXES REFLECT THE LATEST FROM MICROSOFT® OFFICE EXCEL® 2010. This edition's chapter appendices detail the latest information from Excel 2010 as well as cover how to use Excel Premium Solver and LINGO. Both Excel and LINGO files are available on the text's companion Website for every model illustrated in the text.
  • NEW APPENDIX A: BUILDING SPREADSHEET MODELS OFFERS ASSISTANCE IN SOLVING OPTIMIZATION MODELS USING EXCEL® SOLVER. This helpful, optional appendix provides useful insights for solving optimization models with Excel Solver. The appendix also discusses the principles of good spreadsheet modeling and provides useful auditing tips as well as practical exercises.
  • REVISED CHAPTER ON TIME SERIES ANALYSIS AND FORECASTING (CH. 15) OFFERS STRONGER FOCUS ON TIME SERIES DATA AND METHODS. This edition includes a new section on forecast accuracy as well as more emphasis on curve fitting and nonlinear trend. The authors have also more closely integrated the Time Series Analysis and Forecasting chapter (Ch.15) with the rest of the text by emphasizing how finding the best parameter values in forecasting models is an application of optimization. The authors illustrate this using Excel® Solver and LINGO.
  • NEW POPULAR MICROSOFT® PROJECT PROFESSIONAL 2010 SOFTWARE ACCOMPANIES THIS EDITION. This edition's chapter on Project Scheduling: PERT/CPM (Ch. 9) now includes an appendix on Microsoft® Project Professional 2010. Students become familiar with this popular software for project management that they are likely to encounter on the job. Actual Microsoft® Project Professional 2010 software is available on the CD that accompanies each new text.
  • REVISED CHAPTER ON LINEAR PROGRAMMING: SENSITIVITY ANALYSIS AND INTERPRETATION OF SOLUTION (CH. 3) REFLECTS THE MOST UP-TO-DATE MATERIAL. The material throughout Chapter 3 is presented in a timely, contemporary manner with an emphasis on the ease of using software to analyze optimization models.
  • NEW MANAGEMENT SCIENCE IN ACTION, CASES, AND PROBLEMS DEMONSTRATE CHAPTER PRINCIPLES IMPACTING BUSINESS. Short, meaningful "Management Science in Action" summaries describe each chapter's concepts are actually used in practice. This edition offers numerous, engaging Management Science in Action vignettes and cases as well as homework problems for hands-on practice.
  • TRUSTED TEAM OF EXPERT AUTHORS DELIVERS UNERRING ACCURACY. Respected leaders and active consultants in the fields of business and statistics, the Anderson/Sweeney/Williams/Camm/Martin team of authors personally write and confirm all text presentation examples, problems, and Test Bank content to ensure unwavering accuracy and dependability.
1. Introduction.
2. An Introduction to Linear Programming.
3. Linear Programming: Sensitivity Analysis and Interpretation of Solution.
4. Linear Programming Applications in Marketing, Finance, and Operations Management.
5. Advanced Linear Programming Applications.
6. Distribution and Network Models.
7. Integer Linear Programming.
8. Nonlinear Optimization Models.
9. Project Scheduling: PERT/CPM.
10. Inventory Models.
11. Waiting Line Models.
12. Simulation.
13. Decision Analysis.
14. Multicriteria Decisions.
15. Forecasting.
16. Markov Processes.
17. Linear Programming: Simplex Method (on Website).
18. Simplex-Based Sensitivity Analysis and Duality (on Website).
19. Solution Procedures for Transportation (on Website).
20. Minimal Spanning Tree (on Website).
21. Dynamic Programming (on Website).

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  • ISBN-10: 1133455328
  • ISBN-13: 9781133455325
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  • ISBN-10: 1111532222
  • ISBN-13: 9781111532222
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