An introduction to management science : quantitative approaches to decision making
David R. Anderson, Dennis J. Sweeney, T. A. Williams, Mik Wisniewski, Xavier Pierron
- 3rd ed.
- Boston, MA : Cengage Learning, c2016.
- xxvii, 877 p. : ill. ; 26 cm.
1.Introduction2.An Introduction to Linear Programming3.Linear Programming: Sensitivity Analysis and Interpretation of Solution4.Linear Programming Applications5.Linear Programming: The Simplex Method6.Simplex-Based Sensitivity Analysis and Duality7.Transportation, Assignment and Transshipment Problems8.Network Models9.Project Scheduling: PERT/CPM10.Inventory Models11.Queuing Models12.Simulation13.Decision Analysis14.Multicriteria DecisionsConclusion: Management Science in PracticeAppendix A Areas for the Standard Normal DistributionAppendix B Values of e_lAppendix C Bibliography and ReferencesAppendix D Self-Test SolutionsOnline chapters15.Integer Linear Programming16.Forecasting17.Dynamic Programming18.Markov Processes
Reflecting the developments in Microsoft[registered] Office Excel[registered] 2013, this book equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process.
9781473729322
Management science Management science--Mathematical models Management science--Problems, exercises, etc. Operations Research