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An Introduction to Management Science: Quantitative Approaches to Decision Making (with CD-ROM and Crystal Ball Pro Printed Access Card)
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About An Introduction To Management Science: Quantitative
Product Description Learn today's management science concepts and techniques--and how they will benefit you in the classroom and business world beyond--with the definitive leader in management science, INTRODUCTION TO MANAGEMENT SCIENCE: A QUANTITATIVE APPROACH TO DECISION MAKING, 12E. The latest edition of this leading text blends a readable style with a wealth of examples that demonstrate how businesses throughout the world use management science techniques to further their success. Proven, realistic problems help strengthen critical problem-solving skills, while numerous self-test exercises with complete solutions allow you to immediately check your personal understanding of the material. Every new edition now includes the highly respected LINGO 10 software that is integrated with text problems to help you develop the skills to use this, Excel, and many other valuable software packages to resolve management science problems. This edition now places greater emphasis on the applications of management science and use of computer software with less focus on algorithms. Much of the algorithm coverage as well as Excel templates and add-in software, and the user-friendly Management Scientist software are available on the text's accompanying Student CD. Trust INTRODUCTION TO MANAGEMENT SCIENCE, 12E to introduce the management science skills you need now and into the future with clarity you can understand and practicality you can immediately apply. About the Author 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.Dr. Dennis J. Sweeney is a 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, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor 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 journals. Dr. Sweeney is the coauthor 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 BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.Dr. Thomas A. Williams is Professor 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 teaches courses in management science and statistics, as well as graduate courses in regression and
