An Introduction to Management Science: Quantitative Approaches to Decision Making
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基本信息出版社:Cengage (2007年4月19日)外文书名:管理学导论：数据、模型与决策平装:900页正文语种:英语ISBN:0324649940条形码:9780324649949商品尺寸:25 x 20.4 x 3.6 cm商品重量:1.7 KgASIN:0324649940商品描述内容简介ASW's INTRODUCTION TO MANAGEMENT SCIENCE: A QUANTITATIVE APPROACH TO DECISION MAKING provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application.
The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well.作者简介David R. Anderson David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati, where he also served as Head of the Department of Quantitative Analysis and Operations Management, Associate Dean of the College of Business Administration, and 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, and has delivered statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received nominations and awards for excellence in teaching and service to student organizations, has coauthored ten textbooks on decision sciences, and actively consults with businesses in the areas of sampling and statistical methods. He earned his B.S., M.S., and Ph.D. degrees from Purdue University. Dennis J. Sweeney Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati, where he also served as Head of the Department of Quantitative Analysis and Associate Dean of the College of Business Administration. Previously, Dr. Sweeney worked in the management science group at Procter & Gamble and was a visiting professor at Duke University. He has also published more than thirty articles in 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 ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. He earned his B.S. and B.A. degrees from Drake University (summa cum laude), and his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow. Thomas A. Williams Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT), where he was the first Chair of the Decision Sciences Department. Previously, he served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed their first undergraduate program in Information Systems. Professor Williams has coauthored eleven textbooks in management science, statistics, production and operations management, and mathematics. He has consulted to numerous Fortune 500 companies on issues ranging from elementary data analysis to the development of large-scale regression models. Dr. Williams received his B.S. at Clarkson University, and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.David R. Anderson - University of Cincinnati Dennis J. Sweeney - University of Cincinnati Thomas A. Williams - Rochester Institute of Technology
