Management Decision Making: Spreadsheet Modeling, Analysis, and Application / Edition 1

Management Decision Making: Spreadsheet Modeling, Analysis, and Application / Edition 1

by George E. Monahan
     
 

ISBN-10: 0521781183

ISBN-13: 9780521781183

Pub. Date: 08/28/2000

Publisher: Cambridge University Press

Management Decision Making is a spreadsheet-based introduction to the tools and techniques of modern managerial decision making. The author shows how to formulate models in Microsoft Excel that can be used to analyze complex problems taken from all the functional areas of management, including finance, marketing, operations, and human resources. Throughout, the goal…  See more details below

Overview

Management Decision Making is a spreadsheet-based introduction to the tools and techniques of modern managerial decision making. The author shows how to formulate models in Microsoft Excel that can be used to analyze complex problems taken from all the functional areas of management, including finance, marketing, operations, and human resources. Throughout, the goal is to understand how business decisions are reached, what tradeoffs are made, and how outcomes depend on the underlying data. A CD-ROM is included that contains the widely-used decision analysis software applications TreePlan and Crystal Ball. The book is aimed at students of business, economics and engineering, including those taking MBA courses.

Product Details

ISBN-13:
9780521781183
Publisher:
Cambridge University Press
Publication date:
08/28/2000
Edition description:
Book & CD-ROM
Pages:
752
Sales rank:
423,752
Product dimensions:
6.85(w) x 9.72(h) x 1.22(d)

Table of Contents

1. The science of managerial decision making; Part I. Decision Making Using Deterministic Models: 2. Introduction to linear programming models; 3. Developing model formulation skills; 4. More advanced linear decision problems; 5. Output analysis I: small changes; 6. Output analysis II: large changes; 7. Integer linear programs; Part II. Decision Making Under Uncertainty: 8. Introduction to probability models; 9. Decision making under uncertainty; 10. Decision trees; 11. Management of congested service systems; 12. Monte Carlo simulation; Appendix - an Excel primer.

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