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PART I: INTRODUCTION: 1. The Role of Management Science 2. Modeling in Management Science PART II: OPTIMIZATION MODELS: 3. Introduction to Linear Programming 4. Simplex Method of Linear Programming 5. Duality, Sensitivity Analysis, and Computer Solutions of Linear Programming 6. Integer and Zero-one Programming 7. Goal Programming 8. The Transportation Problem 9. The Assignment Problem 10. Network Models 11. Nonlinear Programming PART III: OTHER QUANTITATIVE TECHNIQUES: 12. Project Planning with PERT and CPM 13. Decision Theory 14. Analytic Hierarchy Process 15. Inventory Models 16. Waiting Line (Queuing) Models Appendix: Supplementary Section on Waiting Line Models 17. Dynamic Programming 18. Simulation 19. Forecasting 20. Markov Analysis PART IV: RELATIONSHIP TO INFORMATION SYSTEMS: 21. Management Science Implementation and Decision Support Systems Appendix 1: Poisson Probability Values Appendix 2: Values of ex and eBx Appendix 3: Values of Po for Various Combinations of
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Add Introduction to Management Science, This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy-to-understand examples demonstrating each technique in understandable contexts. The tex, Introduction to Management Science to the inventory that you are selling on WonderClubX
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Add Introduction to Management Science, This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy-to-understand examples demonstrating each technique in understandable contexts. The tex, Introduction to Management Science to your collection on WonderClub |