For undergraduate/graduate level courses in Management Science, Quantitative Analysis, and Decision Models. This best-selling text has long been considered one of the most student accessible texts for the management science course. The new edition retains and updates the traditional, comprehensive coverage of past editions but ???????fine tunes??????? the coverage and adds many new examples and exercises. Table of Contents 1. Introduction to Quantitative Analysis. Supplement 1: Game Theory.  2. Probability Concepts and Applications.  3. Fundamentals of Decision Theory Models.  4. Decision Trees and Utility Theory.  5. Forecasting.  6. Inventory Control Models.  7. Linear Programming Models: Graphical and Computer Methods.  8. Linear Programming Modeling Applications: With Computer Analyses in Excel and QM for Windows.  9. Linear Programming: The Simplex Method. 10. Transportation and Assignment Models. 11. Integer Programming, Goal Programming, Nonlinear Programming, and Branch and Bound Models. 12. Network Models. 13. Project Management. 14. Waiting Lines and Queuing Theory Models. 15. Simulation Modeling. 16. Markov Analysis. 17. Statistical Quality Control. APPENDICES. Appendix A: Areas Under the Standard Normal Curve. Appendix B: Binomial Probabilities. Appendix C: Values of e -???????l for use in the Poisson Distribution. Appendix D: Using QM for Windows. Appendix E: Using Excel QM. Appendix F: Solutions to Selected Problems. Appendix G: Solutions to Self-Tests. CD-ROM MODULES. Module 1: Analytical Hierarchy Process. Module 2: Dynamic Programming. Module 3: Decision Theory and the Normal Distribution. Module 4: Material Requirements Planning, Just-In-Time Inventory, and Enterprise Resource Planning. Module 5: Mathematical Tools: Matrices and Determinants. Module 6: Calculus Based Optimization.