Applications-oriented introduction to the role of management science in decision-making. Best-selling text in the market. Blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving. Problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. ''Management Science in Practice'' features demonstrate how techniques have been successfully applied by companies like Kodak and Upjohn. ''Management Science in Action'' vignettes, new to this edition, provide brief overviews of how chapter material has been used successfully in practice. Unique ''Notes & Comments'' sections provide warnings, limitations, recommended applications, and other tips. Extensive linear programming coverage includes problem formulation, computer solution, and practical application. Text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line problems, simulation, and decision analysis. Large selection of problems includes self-test problems with complete solutions and 20 case problems. Spreadsheet appendices added to this edition.
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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.
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