An Introduction to Management Science: Quantitative Approaches to Decision Making (with CD-ROM and InfoTrac®) [Hardcover]

David R. Anderson (Author), Dennis J. Sweeney (Author), Thomas A. Williams (Author)

Book Description

ISBN-10: 0324202318 | ISBN-13: 978-0324202311 | Publication Date: March 12, 2004 | Edition: 11

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 best traditional text on the market. Simply put, this is 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 in this edition as well.

Editorial Reviews

About the Author

David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. Professor 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 was the coordinator of the College's first Executive Program. In addition to teaching 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 been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. He has coauthored ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods.

Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned BS and BA degrees from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served five years 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. He 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. Professor Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. 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 first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor 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 in areas ranging from the use of elementary data analysis to the development of large-scale regression models.

Product Details

• Hardcover: 936 pages
• Publisher: South-Western College Pub; 11 edition (March 12, 2004)
• Language: English
• ISBN-10: 0324202318
• ISBN-13: 978-0324202311
• Product Dimensions: 10 x 8.2 x 1.6 inches
• Shipping Weight: 4.2 pounds
• Average Customer Review: 3.9 out of 5 stars  See all reviews (21 customer reviews)
• Amazon Best Sellers Rank: #54,691 in Books (See Top 100 in Books)
  • #29 in Books > Science & Math > Reference

Customer Reviews

Most Helpful Customer Reviews

12 of 12 people found the following review helpful:

5.0 out of 5 stars Excellent text and guide to computer solutions., July 5, 1999

By 

[e-mail] (Fort Smith, Arkansas) - See all my reviews

This review is from: Introduction to Management Science: A Quantitative Approach to Decision Making (Hardcover)

I used Anderson and Sweeney's text in an MBA quatitative analysis course at the University of Arkansas. Anderson and Sweeney also provide a study guide and solutions manual which are very helpful. A computer program called the Management Scientist is available which allows you to solve linear programming as well as other operational research problems. Many problems are solved using Lotus 1-2-3 and Microsoft's Excel Solver are presented. Overall, it is a excellent learning tool.

12 of 13 people found the following review helpful:

5.0 out of 5 stars katz, April 19, 2005

By 

katz - See all my reviews

This review is from: An Introduction to Management Science: Quantitative Approaches to Decision Making (with CD-ROM and InfoTrac®) (Hardcover)

Trust Me. This is the only book that you'll need to get started started in this area. The authors have done an excellent job in producing such a work, that takes care to explain all the details of management science.

I used this text for my professional exams (CIMA) and the it was great. All the chapters in this book are cleanly written to take that I doesn't leave anything unexplained. However, the following chapters are the ones that I like the most in this book:

1. Introduction to LP
2. LP: Sensitivity Analysis: Amazing work here.
3. LP Applications: formulation of problems in this chapter may be bit difficult at first, but keep reading and you'll learn and appreciate the work that the authors have put in.
4. LP - Simplex Method: My favorite chapter. Is highly readable. This one chapter alone is worth the book.
5. LP - Simplex Sensitivity.
6. Integer LP
7. Project Scheduling - Great, well written chapter, another favorite of mine.
8. Decision Analysis - Good but the problems are repetative.
9. Markov Process - An introduction only, but the application of markov process to accounts receivable anlaysis is very useful for anyone wondering about the applications of markov processes.

Overall a great book that is worth its price.

4 of 4 people found the following review helpful:

5.0 out of 5 stars Great Study Guide!, December 27, 1999

By A Customer

This review is from: An Introduction to Management Science : Quantitative Approaches to Decision Making (Study Guide) (Paperback)

This goes great with the hardcover textbook. It is full of problems and solutions to practice with.