About the book
Introduce your students to management science techniques with the thorough, applications-oriented coverage you can trust from the definitive leader in traditional management science texts. The best-selling Anderson/Sweeney/Williams/Martin's INTRODUCTION TO MANAGEMENT SCIENCE: A QUANTITATIVE APPROACH TO DECISION MAKING, 13E, has helped define the topical coverage presented within today's management science course curriculum. This book provides a thorough grounding in management science techniques with a readable presentation style and a wealth of examples drawn from a variety of businesses throughout the world. Students learn the techniques and refine their problem solving skills with realistic problems that continue to set this established leader apart. Every new edition now includes the highly respected LINGO 1 software that is integrated with text problems to help you develop the skills to use this, Microsoft® Excel, and many other valuable software packages to resolve management science problems. In response to feedback from instructors like you, this edition now places greater emphasis on the applications of management science and use of computer software with much of the focus on algorithms moved to optional chapters on the accompanying Student CD for your flexibility. As always, the well-respected authors have continued their reputation for excellent and accuracy with error-free presentations throughout the text, test bank, and supplements
About the author
Dr. David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program. At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate-level courses in regression analysis, multivariate analysis, and management science. He has also taught statistical courses at the Department of Labor in Washington, D.C. He has been honored with numerous nominations and awards for excellence in teaching and excellence in service to student organizations. Professor Anderson has co-authored 1 leading textbooks in the areas of statistics, management science, linear programming, and production and operations management. He is an active consultant in the field of sampling and statistical methods.