Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets. Frederick S. Hillier, Mark S. Hillier
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Book Overview
The fifth edition text focuses on business situations, including prominent non-mathematical issues, the use spreadsheets, and involves model formulation and assessment more than model structuring. The... This description may be from another edition of this product.
Format:Hardcover
Language:English
ISBN:007809660X
ISBN13:9780078096600
Release Date:January 2010
Publisher:McGraw-Hill Higher Education
Length:640 Pages
Weight:3.70 lbs.
Dimensions:1.3" x 8.5" x 10.9"
Customer Reviews
4 ratings
Excellent book for Quantitative Analysis
Published by Thriftbooks.com User , 14 years ago
This book was used for an MBA course in quantitative analysis. The book touches on some theory but is used for applying QA using Excel. The Excel templates make short work of the complex calculations in QA so it allows the reader to do proper analysis of the data. If you want to learn about how to do decision analysis and time-series forecasting, then this is a great book to use. The CD comes with all the supplemental Excel spreadsheets and other coursework that is not covered in the book.
very satisfied!!
Published by Thriftbooks.com User , 14 years ago
I was very satisfied with my order. It came just as described and on time!
Great Professor... Great Book!
Published by Thriftbooks.com User , 19 years ago
I was a student of Professor Mark Hillier and truly enjoyed both his class and his textbook. His ability to break concepts down to their simplist form is an excellent teaching tool. I recommend this textbook for all MBAs and anyone interested in optimizing a process in their life. Linear Programming is easy with this book. [...]
Another great book of OR/MS
Published by Thriftbooks.com User , 23 years ago
If you like "Intro to Operations Research" by Hillier and Lieberman (0072416181), you will have two feelings about this book. The less-math-background people will find this is the best-fit for them for its less mathematical theories. Math-people will find this book is only introductory book. However, this book is not a substitution for 0072416181. This book is more application and focus on modeling and applying issues; while 0072416181 is more on solving. The spreadsheet application are now included in this book. Many traditional terms of OR are revised to make it more understandable, e.g., What-if (sensitivity analysis), Yes-No question (BIP). Several success stories and cases of OR/MS are given as well as the "how-to". I found this is a good book for business students or manager who has less time in solving than making money. Many sections are dedicated for popular problems, e.g., Inventory management, transportation, Forecasting, Project management. While this book is quite introductory book, the further study are given, e.g., IP, QAP, Goal Prog. After reading my review, please be silent for one minute to pay respect for Dr. Gerald J. Lieberman, co-author of this book and 0072416181. I'm indebted for your work...
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