Introduction to Management Science

This widely adopted text presents an accessible introduction to the techniques and applications of management science. It is designed to make the subject easy to understand, interesting and accessible for students with limited mathematical background or skills. The author focuses on management science not only as a collection of techniques and processes, but as a philosophy and method for approaching problems in a logical manner, and includes spreadsheets with solutions in every chapter.

Key features

• NEW—Increased emphasis on Excel spreadsheet solutions of problems.
• • Provides students with detailed spreadsheet solutions demonstrated in all chapters of the text for every management science modeling technique presented.
• Free spreadsheet related software—Provided on CD-ROM. Includes a free student version of Crystal Ball, featured in the Simulation chapter. Also provides TreePlan spreadsheet software for decision trees, featured in Chapter 12, and Excel QM our easy-to-use Excel add-ins.
• • Provides students with the tools to solve many problems at the click of a button.
• Short, concise, easy-to-read chapters.
• • Demonstrates for students the fundamentals of the techniques and provides specific solution steps that can be applied to homework and test problems.
• Comprehensive coverage and flexible organization.
• • Accommodates instructors with a broad range of management science course structures and worked examples in the narrative and at the end of chapters.
• Management Science Application boxes.
• • Demonstrates to students how management science techniques are being used in real life to improve efficiency and save money.

• 1. Management Science.
• 2. Linear Programming: Model Formulation and Graphical Solution.
• 3. Linear Programming: Computer Solution and Sensitivity Analysis.
• 4. Linear Programming: Modeling Examples.
• 5. Integer Programming.
• 6. Transportation and Assignment Problems.
• 7. Network Flow Models.
• 8. Project Management.
• 9. Multicriteria Decision Making.
• 10. Nonlinear Programming.
• 11. Probability and Statistics.
• 12. Decision Analysis.
• 13. Queuing Analysis.
• 14. Simulation.
• 15. Forecasting.
• 16. Inventory Management.

• A: Simplex Method.
• B: Transportation/Assignment Models.
• C: Branch and Bound Techniques.
• D: Nonlinear Techniques.
• E: Game Theories.
• F: Markov Analysis.
• Appendix A: Normal Table.
• Appendix B: Setting Up and Editing a Spreadsheet.
• Appendix C: The Poisson and Exponential Distributions.
• Solutions to Odd-Numbered Problems.
• Glossary.
• Index.