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An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card) Hardcover – March 4, 2011

ISBN-13: 978-1111532222 ISBN-10: 1111532222 Edition: 13th
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Editorial Reviews

About the Author

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.

Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 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. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

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.

Dr. Jeffrey D. Camm is Professor of Quantitative Analysis and head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati, where he has been since 1984. He also has served as 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 more than 30 papers in the general area of optimization applied to problems in operations management, and his research has been funded by the Air Force Office of Scientific Research, The Office of Naval Research, and the U.S. Department of Energy. Among his honors, he was named the Dornoff Fellow of Teaching Excellence and received the 2006 INFORMS Prize for the Teaching of Operations Research Practice. Dr. Camm currently serves as editor-in-chief of INTERFACES and is on the editorial board of INFORMS TRANSACTIONS ON EDUCATION. He received his PhD in Management Science from Clemson University.

Dr. Kipp Martin is Professor of Operations Research and Computing Technology at the Graduate School of Business, University of Chicago. Born in St. Bernard, Ohio, he earned a B.A. in Mathematics, an MBA, and a Ph.D. in Management Science from the University of Cincinnati. While at the University of Chicago, Professor Martin has taught courses in Management Science, Operations Management, Business Mathematics, and Information Systems. Research interests include incorporating Web technologies such as XML, XSLT, XQuery, and Web Services into the mathematical modeling process; the theory of how to construct good mixed integer linear programming models; symbolic optimization; polyhedral combinatorics; methods for large scale optimization; bundle pricing models; computing technology and database theory. Dr. Martin has published in INFORMS Journal of Computing, Management Science, Mathematical Programming, Operations Research, The Journal of Accounting Research, and other professional journals. He is also the author of The Essential Guide to Internet Business Technology (with Gail Honda) and Large Scale Linear and Integer Optimization.
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Product Details

  • Hardcover: 896 pages
  • Publisher: Cengage Learning; 13 edition (March 4, 2011)
  • Language: English
  • ISBN-10: 1111532222
  • ISBN-13: 978-1111532222
  • Product Dimensions: 10.1 x 8.1 x 1.6 inches
  • Shipping Weight: 3.8 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #82,357 in Books (See Top 100 in Books)

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Customer Reviews

3.9 out of 5 stars
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Most Helpful Customer Reviews

14 of 18 people found the following review helpful By NS2015 on January 17, 2012
Format: Hardcover Verified Purchase
This textbook shipped promptly and is in perfect condition. However, the Micrsoft Project Professional 2010 that accomanies the book is only a 60 day trial. Nowhere is this stated in the item description. This was the main reason I purchased this product for a $50.00 premium over my school bookstore's copy. This needs to be corrected by Amazon promptly so no one else makes the same mistake.
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2 of 2 people found the following review helpful By Ashley Thomas on January 30, 2014
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I ordered a hardcover revised version, but a soft-covered book came and it was the international version. Thankfully it still worked for my class
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1 of 1 people found the following review helpful By Dumbledore's Army on October 29, 2013
Format: Hardcover Verified Purchase
This course requires a lot of time and thinking, but the book is excellent in its approach to walking you through the problems and when to use certain models. Of all the courses I've taken online, this is the first time I can honestly say that the book alone is sufficient for learning. I haven't needed a tutor or the need to purchase online access codes (a pox on McGraw-Hill for their charades) because this book is great! Thank you, Mr. Anderson, for doing what is rarely done in the world of text books--you've made the material understandable.
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1 of 1 people found the following review helpful By Susan on February 15, 2014
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The book was clean and had all of the necessary components. Renting is the best option for a student on a budget.
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I recommend this textbook for those who are just beginning management science (also known as Operational Research) and for those in upper-level courses who are not fortunate enough to have this book as the classroom text. I have recommended it to many upper-level engineering students who have textbooks that are almost impossible to navigate. They have all found that this is the way this subject should be taught.
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An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card)
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