An Introduction to Management Science: Quantitative Approaches to Decision Making [CD-ROM]

Product Details

• CD-ROM
• Publisher: Thomson South-Western; 11th Revised edition edition
• Language: English
• ISBN-10: 0324202342
• ISBN-13: 978-0324202342
• Average Customer Review: 3.9 out of 5 stars  See all reviews (21 customer reviews)
• Amazon Best Sellers Rank: #6,377,323 in Books (See Top 100 in Books)

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.

13 of 14 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.