An Introduction to Management Science: Quantitative Approach

基本信息

Format:Hardback 912 pages

Publisher:Cengage Learning, Inc

Imprint:CENGAGE Learning Custom Publishing

Edition:15 Revised edition

ISBN:9781337406529

Published:13 Nov 2017

Classifications:Management & management techniques

Weight:1816g

Dimensions:283 x 224 x 35(mm)

頁面參數僅供參考，具體以實物為準

書籍簡介

現在，你可以在掌握Microsoft Office Excel 2016的*優勢的同時，對管理科學在決策過程中發揮的作用有一個合理的概念性認識。安德森/斯威尼/威廉斯/卡姆/科克倫/弗萊/奧曼的《管理科學概論》第15版是二十多年來值得信賴的市場領導者，它採用成熟的問題情景法，在應用環境中介紹每一種定量技術。所有的數據集、應用程序和屏幕視覺效果都反映了Excel 2016的細節，讓你有效地準備好使用*的電子表格工具。此外，本書的在線內容提供了LINGO軟件和Excel插件。

Now you can gain with a sound conceptual understanding of the role that management science plays in the decision-making process while mastering the latest advantages of Microsoft Office Excel 2016. The trusted market leader for more than two decades, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 15E uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2016 to effectively prepare you to work with the latest spreadsheet tools. In addition, the book's online content offers LINGO software and Excel add-ins.

作者簡介

大衞·R·安德森博士是辛辛那提大學工商管理學院定量分析的主要作者和榮譽教授。他曾擔任定量分析和運營管理系的系主任和工商管理學院的副院長。他也是該學院第一個執行課程的協調人。除了商業學生的入門統計學，安德森博士還教授研究生水平的迴歸分析、多變量分析和管理科學課程。

Dr. David R. Anderson is a leading 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. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected 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 B.S., M.S., and Ph.D. degrees from Purdue University.

丹尼斯·J·斯威尼是辛辛那提大學定量分析的名譽教授和生產力改進中心的創始人。斯威尼教授曾在寶潔公司的管理科學小組工作，並在杜克大學擔任過訪問教授。斯威尼教授曾擔任辛辛那提大學定量分析系主任和四年的工商管理學院副院長。斯威尼教授在管理科學和統計學領域發表了30多篇文章和專論。

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 BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs 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 co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

傑弗裏·D·坎姆是英瑪爾主席和維克森林大學商學院的商業分析副院長。

Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he was on the faculty of the University of Cincinnati. He has also been 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 over 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, the INFORMS Journal on Applied Analytics, and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati, and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of the INFORMS Journal on Applied Analytics (formerly Interfaces). In 2016, Professor Camm received the George E. Kimball Medal for service to the operations research profession, and in 2017 he was named an INFORMS Fellow.

James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. from Wright State University and his Ph.D. from the University of Cincinnati. He has been at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa, and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 50 papers in the development and application of operations research and statistical methods. He has published in several journals, including Management Science, The American Statistician, Communications in Statistics -- Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal on Applied Analytics, and Statistics and Probability Letters. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice, 2010 Mu Sigma Rho Statistical Education Award, and 2016 Waller Distinguished Teaching Career Award from the American Statistical Association. Dr. Cochran was elected to the International Statistics Institute in 2005, named a Fellow of the American Statistical Association in 2011, and named a Fellow of INFORMS in 2017. He also received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association, and he received the INFORMS President's Award in 2019. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, Dr. Cochran has chaired teaching effectiveness workshops around the globe. He has served as an operations research consultant to numerous companies and not-for-profit organizations.