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Quantative Decision Making with Spreadsheet Application

ISBN-10: 0495015601

ISBN-13: 9780495015604

Edition: 7th 2002 (Revised)

Authors: Lawrence Lapin, William D. Whisler

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Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility. This text contains a special student version of Palisade Corporation's DecisionTools Suite, containing @Risk, PrecisionTree, BestFit, TopRank and RiskView. This software is expressly provided for student use and requires student authorization to unlock the software for its full one year license. Professional customers may use the software for 30 days at which point they must contact Palisade Corporation for a professional version should they wish to continue using the software.
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Book details

Edition: 7th
Copyright year: 2002
Publisher: Brooks/Cole
Publication date: 2/14/2005
Binding: Hardcover
Pages: 752
Size: 8.25" wide x 10.00" long x 2.25" tall
Weight: 4.048
Language: English

Part I: INTRODUCTION. 1. Introduction to Quantitative Methods. 2. Introduction to Spreadsheets with Excel. Part II: DECISION MAKING AND PLANNING WITH UNCERTAINTY. 3. Probability Concepts: Quantifying Uncertainty. 4. Probability Distributions and Expected Value. 5. Decision Making Concepts. 6. Decision Making and Risk: Certainty Equivalents and Utility. 7. Forecasting. Part III: RESOURCE ALLOCATION. 8. Linear Programming. 9. Linear Programming Applications and Computer Solutions. 10. Sensitivity Analysis and Duality in Linear Programming. 11. Integer and Goal Programming. Part IV: DISTRIBUTION, ROUTING, AND SCHEDULING. 12. Transportation and Assignment Problems. 13. Network Models. 14. Project Management with Pert and CPM. Part V: INVENTORY MANAGEMENT. 15. Inventory Decisions with Certain Factors. 16. Inventory Decisions with Uncertain Factors. Part VI: SIMULATION AND WAITING LINES. 17. Waiting Lines (Queues). 18. Simulation.