The Management Scientist, Version 6.0
South-Western (Hersteller)
9780324191332 (ISBN)
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This personal computer software package should assist learners enrolled in quantitative methods and management science courses. It could be used to solve a wide variety of textbook problems as well as small-scale problems encountered in practice. Use of this tool should demonstrate the valuable role of the computer in applying quantitative methods to decision problems. The new Version 6.0, for Windows 95 and Windows XP, has improved saving and retrieving capabilities. The Management Scientist software package consists of 12 computer programmes, called modules, that use quantitative methods to develop decision-making information.
David R. Anderson is Professor Emeritus of Quantitative Analysis in the Carl H. Lindner College of Business at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Dr. 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 has been the coordinator of the College's first Executive Program. At the University of Cincinnati, Dr. 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 nominations and awards for excellence in teaching and excellence in service to student organizations. Dr. Anderson has coauthored 10 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. Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and Founder 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 and his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow. During 1978-1979, Dr. Sweeney worked in the management science group at Procter & Gamble and from 1981-1982, he was a visiting professor at Duke University. Dr. Sweeney served as Head of the Department of Quantitative Analysis and as Associate Dean of the College of Business Administration at the University of Cincinnati. He has published more than 30 articles and monographs in the areas 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 has coauthored 10 textbooks in the areas of statistics, management science, linear programming, and production and operations management. Thomas A. Williams is Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology. Born in Elmira, New York, he earned his B.S. degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. Before joining the College of Business at RIT, Dr. 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. At RIT 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. Dr. Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He 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.
Linear programming; Transportation problem; Assignment problem; Integer linear programming; Shortest route; Minimal spanning tree; PERT/CPM; Inventory; Waiting lines; Decision analysis; Forecasting; Markov processes.
| Verlagsort | Mason, OH |
|---|---|
| Sprache | englisch |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management |
| ISBN-13 | 9780324191332 / 9780324191332 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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