Practical Management Science, Revised (with CD-ROM, Decision Making Tools and Stat Tools Suite, and Microsoft Project) / Edition 3

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Overview

Easy to understand and to the point—and without any jargon—PRACTICAL MANAGEMENT SCIENCE uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you'll easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models. The CD-ROMs packaged with every new book include the following useful add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); Solver Table, which allows you to do sensitivity analysis; and Premium Solver for Education from Frontline Systems. All of these add-ins have been revised for Excel 2007.

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Product Details

  • ISBN-13: 9780324662504
  • Publisher: Cengage Learning
  • Publication date: 8/6/2008
  • Edition description: Revised
  • Edition number: 3
  • Pages: 1008
  • Product dimensions: 8.30 (w) x 10.30 (h) x 1.70 (d)

Meet the Author

Wayne L. Winston is Professor of Operations and Decision Technologies in the Kelley School of Business at Indiana University, where he has taught since 1975. Wayne received his B.S. degree in Mathematics from MIT and his Ph.D. degree in Operations Research from Yale. He has written the successful textbooks OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, DATA ANALYSIS AND DECISION MAKING, DATA ANALYSIS FOR MANAGERS, SPREADSHEET MODELING AND APPLICATIONS, AND FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. Wayne has published over 20 articles in leading journals and has won many teaching awards, including the school-wide MBA award four times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance and marketing.

S. Christian Albright received his B.S. degree in mathematics from Stanford in 1968 and his Ph.D. in operations research from Stanford in 1972. Since then, he has been teaching in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University. He has taught courses in management science, computer simulation, and statistics to all levels of business students: undergraduates, MBAs, and doctoral students. He has published over twenty articles in leading operations research journals in the area of applied probability, and he has authored other successful South-Western titles, including DATA ANALYSIS AND DECISION MAKING, DATA ANALYSIS FOR MANAGERS, PRACTICAL MANAGEMENT SCIENCE, and SPREADSHEET MODELING AND APPLICATIONS. His current interest is in spreadsheet modeling, including development of VBA applications in Excel?.

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Table of Contents

1. Introduction to Modeling. 2. Introductory Spreadsheet Modeling. 3. Introduction to Optimization Modeling. 4. Linear Programming Models. 5. Network Models. 6. Linear Optimization Models with Integer Variables. 7. Nonlinear Optimization Models. 8. Evolutionary Solver: An Alternative Optimization Procedure. 9. Multi-Objective Decision Making. 10. Decision Making Under Uncertainty. 11. Introduction to Simulation Modeling. 12. Simulation Models. 13. Inventory Models. 14. Queueing Models. 15. Project Scheduling Models. 16. Regression and Forecasting Models.

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