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.
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Book Description
Editorial Reviews
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
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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.,
By JDean46109@AOL.COM (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,
By
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!,
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.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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objective function value, constraint slack, waiting line models, variable lower limit, inventory models, waiting line simulation, red pop, favorable medium, space pirates, solving linear programs, minimum profit, cell reference, smoothing methods, market share analysis, planned shortages, variable cost per unit, immediate time, gasoline component, scoring models, composite hospital, deluxe bags, uncertain activity times, annual holding cost rate, recommended decision alternative, warehouse expansion project Key Phrases - Capitalized Phrases (CAPs): (learn more)
Thomson Learning, All Rights Reserved, The Management Scientist, Case Problem, The Management Science, Burger Dome, County Hospital, Upper Limit, Try Problem, Current Value, Decision Analysis, Project Scheduling, Variable Value Reduced Costs, Surplus Dual Prices, Excel Solver, Leisure Air, Kansas City, New York, Bub Beer, Crystal Ball, Solutions Plus, Duke Energy, United States, Operations Management, Multicriteria Decisions Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
objective function value, constraint slack, waiting line models, variable lower limit, inventory models, waiting line simulation, red pop, favorable medium, space pirates, solving linear programs, minimum profit, cell reference, smoothing methods, market share analysis, planned shortages, variable cost per unit, immediate time, gasoline component, scoring models, composite hospital, deluxe bags, uncertain activity times, annual holding cost rate, recommended decision alternative, warehouse expansion project Key Phrases - Capitalized Phrases (CAPs): (learn more)
Thomson Learning, All Rights Reserved, The Management Scientist, Case Problem, The Management Science, Burger Dome, County Hospital, Upper Limit, Try Problem, Current Value, Decision Analysis, Project Scheduling, Variable Value Reduced Costs, Surplus Dual Prices, Excel Solver, Leisure Air, Kansas City, New York, Bub Beer, Crystal Ball, Solutions Plus, Duke Energy, United States, Operations Management, Multicriteria Decisions Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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