Easy to understand and to the point, 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 will 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 essentials resource website, whose access is available with every new book, includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2010.
|Publisher:||Duxbury Systems, Incorporated|
|Product dimensions:||4.25(w) x 1.00(h) x 6.80(d)|
About 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?.
Table of Contents
Brief Contents. 1. Introduction to Modeling. 2. Introduction to Spreadsheet Modeling. 3. Introduction to Optimization Modeling. 4. Linear Programming Models. 5. Network Models. 6. Optimization Models with Integer Variables. 7. Nonlinear Optimization Models. 8. Evolutionary Solver: An Alternative Optimization Procedure. 9. Decision Making Under Uncertainty. 10. Introduction to Simulation Modeling. 11. Simulation Models. 12. Inventory Models. 13. Queueing Models. 14. Regression and Forecasting Models. 15. Project Management (Online only). 16. Multiobjective Decision Making (Online only).