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Management Decision Making

Management Decision Making
Spreadsheet Modeling, Analysis, and Application


  • Date Published: August 2000
  • availability: Temporarily unavailable - available from February 2020
  • format: Mixed media product
  • isbn: 9780521781183

£ 83.00
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About the Authors
  • 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 analyse complex problems taken from all the functional areas of management, including finance, marketing, operations, and human resources. Throughout the book, the goal is to understand how business decisions are reached, what tradeoffs are made, and how outcomes depend on the underlying data. A broad range of analytical methods is discussed, including linear programming, integer linear programming, decision analysis, decision trees, queues, and Monte Carlo simulation. Included is a CD-ROM 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. It will also be of great interest to business managers who want to learn more about practical spreadsheet modeling.

    • All decision problems discussed from a managerial perspective
    • CD-ROM containing Excel files for all examples, plus decision analysis software, TreePlan and Crystal Ball
    • Extensive Excel primer included as an appendix
    • Solutions manual and transparencies of all figures available on the web
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    Product details

    • Date Published: August 2000
    • format: Mixed media product
    • isbn: 9780521781183
    • length: 752 pages
    • dimensions: 254 x 194 x 31 mm
    • weight: 2.05kg
    • contains: 100 tables 158 exercises
    • availability: Temporarily unavailable - available from February 2020
  • 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.

  • Instructors have used or reviewed this title for the following courses

    • Business Decision modeling
    • Decision Models
    • Introduction to Decision Analysis
    • Management of Technology
    • Managerial Decision Making
    • Problem Solving
  • Author

    George E. Monahan, University of Illinois, Urbana-Champaign

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