An Introduction to Management Science: Quantitative Approaches to Decision Making (Hardcover)

~ (Author), Thomas Arthur Williams (Author), (Transcriber)
Key Phrases: objective function value, constraint slack, waiting line models, Thomson Learning, All Rights Reserved, The Management Scientist (more...)

Editorial Reviews

Product Description

Intended for business professionals and managers who would like a better conceptual understanding of the role of management science in the decision making process, this book blends problem formulation with managerial interpretation and maths technique.

About the Author

Thomas A. Williams is Professor 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. --This text refers to an alternate Hardcover edition.

Product Details

• Hardcover: 920 pages
• Publisher: South-Western Educational Publishing; 10th edition (June 15, 2002)
• Language: English
• ISBN-10: 0324145632
• ISBN-13: 978-0324145632
• Product Dimensions: 10.1 x 8.4 x 1.5 inches
• Shipping Weight: 4 pounds
• Average Customer Review: 3.9 out of 5 stars  See all reviews (16 customer reviews)
• Amazon.com Sales Rank: #855,764 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

10 of 10 people found the following review helpful:

5.0 out of 5 stars Excellent text and guide to computer solutions., July 6, 1999

By	[e-mail] "jdean46109" (Fort Smith, Arkansas) - See all my reviews

This review is from: An Introduction to Management Science: Quantitative Approaches 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.

8 of 8 people found the following review helpful:

4.0 out of 5 stars MIS Student, November 25, 1999

By	Panukorn Vichaikul (Kissimmee, FL USA) - See all my reviews (REAL NAME)

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

I am a student at Florida State University, My major is Management Information Systems. This book covers many approaches to solving business problems. This book is easy to read and understand. It gives many real world examples and solutions using MS Excel.