An introduction to management science : quantitative approaches to decision making/ by David R. Anderson , Dennis J. Sweeney, T. A. Williams, Mik Wisniewski , Xavier Pierron
Material type:
TextPublication details: Andover, Hampshire: engage Learning EMEA, c2017Edition: 3rd.editionDescription: xv, 669 pages : color illustrations ; 26 cmISBN: - 9781473729322
- 1473729327
- H30.25.A53 2017
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KMTC:NAIROBI CAMPUS General Stacks | H30.25.A53 2017 (Browse shelf(Opens below)) | 1 | Available | 32436 | ||
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Books
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KMTC:NAIROBI CAMPUS General Stacks | H30.25.A53 2017 (Browse shelf(Opens below)) | 2 | Available | 32437 |
The first edition of this text was based on the best-selling US version and deliberately set out to adapt and tailor the US version for a non-US university audience... and this edition has further tailored and adapted the content to give broad international appeal."--Page xiii
Includes Bibliographical references and Index
CONTENTS
1. Introduction--2. An Introduction to Linear Programming--3. Linear Programming: Sensitivity Analysis and Interpretation of Solution--4. Linear Programming Applications--5. Linear Programming: The Simplex Method--6. Simplex-Based Sensitivity Analysis and Duality--7.Transportation,Assignment and Transshipment problems--8.Network Models--9.Project Scheduling:PERT/CPM--10. Inventory Models--11. Queuing Models--12. Simulation--13. Decision Analysis--14. Multicriteria DecisionsConclusion: Management Science in Practice-Appendix A Areas for the Standard Normal DistributionAppendix B Values of e_lAppendix C Bibliography and ReferencesAppendix D Self-Test SolutionsOnline chapters--15. Integer Linear Programming--16. Forecasting--17. Dynamic Programming--18. Markov Processes.
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