Practical Management Science (with Essential Textbook Resources Printed Access Card) / Edition 4

Practical Management Science (with Essential Textbook Resources Printed Access Card) / Edition 4

by Wayne L. Winston, S. Christian Albright
     
 


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… See more details below

Overview


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.

Product Details

ISBN-13:
9781111531317
Publisher:
Cengage Learning
Publication date:
05/05/2011
Edition description:
Older Edition
Pages:
936
Sales rank:
1,319,166
Product dimensions:
8.10(w) x 10.30(h) x 1.50(d)

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).

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