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.
Dennis J. Sweeney is Professor of Quantitative Analysis and Director of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a B.S.B.A. 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. During 1978-79, he spent a year working in the management science group at Procter & Gamble; during 1981-82, he was a visiting professor at Duke University. Professor Sweeney served 5 years as Head of the Department of Quantitative Analysis and 4 years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published over 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. Professor Sweeney has coauthored eight textbooks in the areas of statistics, management science, linear programming, and production and operations management.
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 decision analysis. Before joining the College of Business at RIT, Professor 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 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, Professor 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.
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Descripción South-Western College Pub. Paperback. Estado de conservación: Fair. Nº de ref. de la librería G0314208003I5N00
Descripción West Publishing Company, College & School Division. Paperback. Estado de conservación: Fair. Nº de ref. de la librería G0314208003I5N00
Descripción Southwestern Pub Co, 1997. Estado de conservación: Good. 8th Edition. Shows some signs of wear, and may have some markings on the inside. Nº de ref. de la librería GRP10446493
Descripción Estado de conservación: Good. Book Condition: Good. Nº de ref. de la librería 97803142080024.0
Descripción South-Western College Pub, 1996. Paperback. Estado de conservación: Good. 8. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. Buy with confidence, excellent customer service!. Nº de ref. de la librería 0314208003