Introduction to Management Science and Student CD Package

Introduction to Management Science and Student CD Package : International Edition

  • Mixed media product
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Description

For undergraduate courses in Management Science, Quantitative Methods, or Decision Models; also appropriate for MBA-level courses in Quantitative Methods.This widely-adopted text presents an accessible introduction to the techniques and applications of management science. It is designed to make the subject easily understandable and interesting for students with limited mathematical backgrounds 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. It includes Excel spreadsheets with solutions in every chapter, and many examples of how to solve management science models on the computer.show more

Product details

  • Mixed media product | 803 pages
  • 203 x 255 x 29mm | 1,370g
  • Pearson Education (US)
  • Pearson
  • United States
  • 8th edition
  • 0131239317
  • 9780131239319

Table of 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. 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 Table. Appendix B: Setting Up and Editing a Spreadsheet. Appendix C: The Poisson and Exponential Distributions. Solutions to Odd-Numbered Problems. Index. CD-ROM Modules. 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.show more