Introduction to Management Science (Paperback)

This text focuses on using simple, straight forward explanations and examples with step-by-step details of the modeling and solution techniques to make these mathematical topics less complex.• Features• Short, easy-to-read chapter• Focuses students on clear explanation of the math involved, and learning through detailed step-by-step examples• New! “Management Science application boxes” includes 15 new boxes in this edition, spread throughout. These boxes report on how specific management science techniques have been applied in actual companies and organizations to solve real world problems• Demonstrates to students how management science techniques are utilized in real life to improve efficiency and save money.• New! Additional homework problems and case problems-includes 720 homwork problems, 30 of which are new for this edition, and 52 end-of chapter cases, 4 of which are new. The homework problems range from very easy to very difficult. The cases provide the opportunity to test the student’s ability and knowledge for difficult problems set in a real world scenario. Many of the homework problems and cases include in-depth questions that test the student understands of the modeling concept and the solution results.• Gives students the hands-on practice they need.• New! Extensive use of software and free spreadsheet software on the student CDT Taylor focuses primarily on Excel spreadsheet solutions of most examples in the text, however he also demonstrates the application of QM for Windows in all chapter and Excel QM in appropriate chapters, so that the text is compatible with whichever software the instructor prefers.• Uses both Excel and QM for Windows to solve LP in the text. The CD that accompanies the text has a module that covers the simplex method in depth, and solves all examples in the main text with the simplex method. Additional modules are included on the CD for the manual ( i.e. mathematical) solution of Transportation and Assignment problems, integer programming problems, Nonlinear programming problems, game theory and Markov analysis• Provides lots of flexibility depending on the instructor methods of choice. Contents 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, transshipment, and assignment problems 7. Network flow models 8. Project management 9. multi criteria decision making 10. nonlinear programming 11. probability and statistics 12. Decision analysis 13. Queuing analysis 14. simulation 15. Forecasting 16. Inventory management Appendix A Appendix B Appendix C Solutions to selected odd-numbered problems • Glossary• Index