Description: 1. Introduction to Management Science Techniques and the Concept of Decision Modeling. 2. Introduction to Linear Programming. 3. The Simplex Solution Procedure for Linear Programming. 4. The Dual and Sensitivity Analysis. 5. Transportation, Transshipment and Assignment Models. 6. Introduction to Goal Programming and Integer Programming. 7. Forecasting Techniques. 8. Introduction to Inventory Control Models. 9. Probabilistic Inventory Models and Other Inventory Techniques. 10. PERT/CPM: An Introduction to Project Management Tools. 11. Additional Network Models. 12. Queuing Theory: The Study of Waiting Line Models. 13. Introduction to Decision Analysis. 14. Bayesian Revision Analysis and the Value of Information. 15. Introduction to Risk Preference Analysis. 16. Introduction to Simulation Modeling. 17. Dynamic Programming. 18. Markov Processes.

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