Includes index.

Chapter 1. Introduction
Chapter 2. Mathematical prerequisites,
Chapter 3.critical path methods for project management, Chapter 4. introduction to linear programming models and solution Techniques, Chapter 5.Formulating linear programming models,
Chapter 5.Simplex algorithms,
Chapter 6. Duality and sensitivity,
Chapter 7. Goal programming,
Chapter 8. transportation and other special-structure models, Chapter 9. finding optimal solutions for integer Programming Models,
Chapter 10. Inventory Models for known Demands,
Chapter 11. Inventory models: Extensions,
Chapter 13. Marcov chain models in business
Chapter 14. Unity theory
Chapter 15. The Bayesian decision model
Chapter 16. Queuing models in business
Chapter 17. Dynamic programming
Chapter 18. Introduction to simulation techniques
Chapter 19. Portfolio models
Chapter 20. Operations research