Introduction to Management Science and Student CD Package
United States Edition
Bernard W. Taylor(Author)
Pearson (Publisher)
8th Edition
Published on 16. January 2004
Book
Mixed media product
803 pages
978-0-13-105052-5 (ISBN)
Article exhausted; check for reprint
Description
For undergraduate courses in Management Science, Quantitative Methods, or Decision Models; also appropriate for MBA-level courses in Quantitative Methods.
This widely-adopted text presents an accessible introduction to the techniques and applications of management science. It is designed to make the subject easily understandable and interesting for students with limited mathematical backgrounds or skills. The author focuses on management science not only as a collection of techniques and processes, but as a philosophy and method for approaching problems in a logical manner. It includes Excel spreadsheets with solutions in every chapter, and many examples of how to solve management science models on the computer.
This widely-adopted text presents an accessible introduction to the techniques and applications of management science. It is designed to make the subject easily understandable and interesting for students with limited mathematical backgrounds or skills. The author focuses on management science not only as a collection of techniques and processes, but as a philosophy and method for approaching problems in a logical manner. It includes Excel spreadsheets with solutions in every chapter, and many examples of how to solve management science models on the computer.
More details
Edition
8th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 261 mm
Thickness: 32 mm
Weight
1604 gr
ISBN-13
978-0-13-105052-5 (9780131050525)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
03/2006
9th Edition
Pearson
€128.14
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Previous edition

Bernard W. Taylor
Introduction to Management Science
Book
07/2001
7th Edition
Pearson
€58.17
Article exhausted; check for reprint
Content
1. Management Science.
2. Linear Programming: Model Formulation and Graphical Solution.
3. Linear Programming: Computer Solution and Sensitivity Analysis.
4. Linear Programming: Modeling Examples.
5. Integer Programming.
6. Transportation, Transshipment, and Assignment Problems.
7. Network Flow Models.
8. Project Management.
9. Multicriteria Decision Making.
10. Nonlinear Programming.
11. Probability and Statistics.
12. Decision Analysis.
13. Queuing Analysis.
14. Simulation.
15. Forecasting.
16. Inventory Management.
Appendix A: Normal Table.
Appendix B: Setting Up and Editing a Spreadsheet.
Appendix C: The Poisson and Exponential Distributions.
Solutions to Odd-Numbered Problems.
Index.
CD-ROM Modules.
Module A: The Simplex Solution Method.
Module B: Transportation and Assignment Solution Methods.
Module C: Integer Programming: The Branch and Bound Method.
Module D: Nonlinear Programming Solution Techniques.
Module E: Game Theory.
Module F: Markov Analysis.
2. Linear Programming: Model Formulation and Graphical Solution.
3. Linear Programming: Computer Solution and Sensitivity Analysis.
4. Linear Programming: Modeling Examples.
5. Integer Programming.
6. Transportation, Transshipment, and Assignment Problems.
7. Network Flow Models.
8. Project Management.
9. Multicriteria Decision Making.
10. Nonlinear Programming.
11. Probability and Statistics.
12. Decision Analysis.
13. Queuing Analysis.
14. Simulation.
15. Forecasting.
16. Inventory Management.
Appendix A: Normal Table.
Appendix B: Setting Up and Editing a Spreadsheet.
Appendix C: The Poisson and Exponential Distributions.
Solutions to Odd-Numbered Problems.
Index.
CD-ROM Modules.
Module A: The Simplex Solution Method.
Module B: Transportation and Assignment Solution Methods.
Module C: Integer Programming: The Branch and Bound Method.
Module D: Nonlinear Programming Solution Techniques.
Module E: Game Theory.
Module F: Markov Analysis.