An Introduction to Management Science

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Cengage Learning, Mar 19, 2010 - Business & Economics - 896 pages
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AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING has been a leader in the field for over 20 years. The key purpose of this book is to provide undergraduate and graduate students with a sound conceptual understanding of the role that management science plays in the decision-making process. AN INTRODUCTION TO MANAGEMENT SCIENCE is applications-oriented and continues to use the problem-scenario approach that is a hallmark of every edition of the text, in which a problem is described in conjunction with the management science model that’s introduced. The model is then solved to generate a solution and recommendation to management. 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.
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About the author (2010)

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 is 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 worked in the management science group at Procter & Gamble and served as 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 co-author of 10 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 MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

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 decision analysis. For seven years, Professor Williams served as a faculty member in the University of Cincinnati College of Business Administration, where he developed the undergraduate program in Information Systems and then 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 served as a consultant for numerous Fortune 500 companies, working 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 his M.S. and Ph.D. degrees at Rensselaer Polytechnic Institute.

Dr. Jeffrey D. Camm is Professor of Quantitative Analysis and head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati, where he has been since 1984. He also has served as 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 his research has been funded by the Air Force Office of Scientific Research, The Office of Naval Research, and the U.S. Department of Energy. Among his honors, he was named the Dornoff Fellow of Teaching Excellence and received the 2006 INFORMS Prize for the Teaching of Operations Research Practice. Dr. Camm currently serves as editor-in-chief of INTERFACES and is on the editorial board of INFORMS TRANSACTIONS ON EDUCATION. He received his PhD in Management Science from Clemson University.

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