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Practical Management Science - With 2 CD's

Practical Management Science - With 2 CD's - rev edition

ISBN13: 978-0324662504

Cover of Practical Management Science - With 2 CD
ISBN13: 978-0324662504
ISBN10: 0324662505
Cover type: Hardback
Edition/Copyright: REV 09
Publisher: South-Western Publishing Co.
Published: 2009
International: No

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Practical Management Science - With 2 CD's - REV 09 edition

ISBN13: 978-0324662504

Wayne L. Winston and S. Christian Albright

ISBN13: 978-0324662504
ISBN10: 0324662505
Cover type: Hardback
Edition/Copyright: REV 09
Publisher: South-Western Publishing Co.

Published: 2009
International: No
Summary

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.

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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