| Description |
xix, 848 pages, 46 pages, 6 pages : illustrations ; 27 cm |
| Contents |
Ch. 1. Introduction -- Ch. 2. An Introduction to Linear Programming -- Ch. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution -- Ch. 4. Linear Programming Applications -- Ch. 5. Linear Programming: The Simplex Method -- Ch. 6. Simplex-Based Sensitivity Analysis and Duality -- Ch. 7. Transportation, Assignment, and Transshipment Problems -- Ch. 8. Integer Linear Programming -- Ch. 9. Network Models -- Ch. 10. Project Scheduling: PERT/CPM -- Ch. 11. Inventory Models -- Ch. 12. Waiting Line Models -- Ch. 13. Simulation -- Ch. 14. Decision Analysis -- Ch. 15. Multicriteria Decision Problems -- Ch. 16. Forecasting -- Ch. 17. Markov Processes -- Ch. 18. Dynamic Programming -- App. A. The Management Scientist Software -- App. B. Areas for the Standard Normal Distribution -- App. C. Values of e[superscript -[lambda]] -- App. D. References and Bibliography -- App. E. Answers to Even-Numbered Problems -- App. F. Solutions to Self-Test Problems |
|
App. G. Linear Solving Problems with LINDO |
| Summary |
"An Introduction to Management Science: Quantitative Approaches to Decision Making, 9e remains applications oriented and continues to use the problem-scenario approach to demonstrate not only how the management science procedure works but also how it can contribute to the decision-making process. The purpose of this best-selling text continues to be to provide students with a sound conceptual understanding of the role that management science plays in the decision-making process."--BOOK JACKET |
| Bibliography |
Includes bibliographical references (page A-7-A-8) and index |
| Subject |
Management science.
|
| Author |
Sweeney, Dennis J.
|
|
Williams, Thomas A. (Thomas Arthur), 1944-
|
| LC no. |
99027530 |
| ISBN |
0324003218 hardcover alkaline paper |
|
