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| An Introduction to Management Science: Quantitative Approaches to Decision Making (with CD-ROM and InfoTrac) (Introduction to Management Science) | 
enlarge | Authors: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams Publisher: South-Western College Pub Category: Book
List Price: $192.95 Buy New: $10.00 You Save: $182.95 (95%)
Buy New/Used from $6.55
Avg. Customer Rating:   (9 reviews) Sales Rank: 41713
Languages: English (Original Language), English (Unknown), English (Published) Media: Hardcover Edition: 11 Number Of Items: 1 Pages: 936 Shipping Weight (lbs): 4.2 Dimensions (in): 10 x 8.2 x 1.6
ISBN: 0324202318 Dewey Decimal Number: 500 EAN: 9780324202311 ASIN: 0324202318
Publication Date: March 12, 2004 Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
Product Description 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.
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| Customer Reviews: Read 4 more reviews...
  Good program with textbook August 22, 2007 1 out of 1 found this review helpful
I had to use this text for a sophmore level management science course. While the book is extensively detailed, it is written for graduate school level course work. The program that comes with the text is much more useful for the undergrad student tackling business statistics.
  Graduate Students Guide March 10, 2006 2 out of 2 found this review helpful
This book is an essential guide for every graduate student. It makes mathematical and technical concepts of management science understandable and useful.
  Good college textbook February 24, 2006 2 out of 2 found this review helpful
This book provides thorough explanations, good tables, graphs, examples and self-test questions with most of the answers in the back of the book.
  katz April 19, 2005 11 out of 12 found this review helpful
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.
  A mis estudiantes les gusta! March 28, 2000 6 out of 9 found this review helpful
He usado el libro en cursos de maestria en administracion. Mis estudiantes lo recomiendan por ser muy didactico, sin sacrificar profundidad en la presentacion de los temas.
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