Introduction to Management Science gives students a strong foundation in how to make decisions and solve complex problems using both quantitative methods and software tools. In addition to extensive examples, problem sets, and cases, the 13th Edition incorporates Excel 2016 and other software resources, developing students ability to leverage the technology they will use throughout their careers. By practicing these modelling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit TheeBooks products do not have an expiry date. You will continue to access yourdigitalebookproducts whilst you have yourBookshelf installed. Samples Download the detailed table of contents Preview sample pages from Introduction to Management Science, Global Edition
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. Multicriteria Decision Making 10. Nonlinear Programming 11. Probability and Statistics 12. Decision Analysis 13. Queuing Analysis 14. Simulation 15. Forecasting 16. Inventory Management Appendix A: Normal and Chi-Square Tables Appendix B: Setting Up and Editing a Spreadsheet Appendix C: The Poisson and Exponential Distributions Solutions to Selected Odd-Numbered Problems The following items can be found on the companion website that accompanies this text: Module A: The Simplex Solution Method Module B: Transportation and Assignment Solution Methods Module C: Integer Programming: The Branch and Bound Method Module D: Nonlinear Programming Solution Techniques Module E: Game Theory Module F: Markov Analysis
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