An Introduction to Management Science
eBook - PDF
No longer available

An Introduction to Management Science

Quantitative Approaches to Decision Making

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF
No longer available

An Introduction to Management Science

Quantitative Approaches to Decision Making

About this book

The third edition of this highly-regarded text has been fully updated whilst maintaining the accessible and comprehensive style that makes this text so popular. Packed with diverse realistic examples from Scotland to Saudi Arabia, this truly internationalized version of the landmark text from the Anderson, Sweeney and Williams team provides a complete introduction to the subjects of Management Science and Operations Research.

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Yes, you can access An Introduction to Management Science by David R. Anderson; Dennis J. Sweeney; Thomas A. Williams,David Anderson, Dennis Sweeney, Thomas Williams, Mik Wisniewski in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Contents
  3. About the Authors
  4. Preface
  5. Acknowledgements
  6. Chapter 1: Introduction
  7. Chapter 2: an Introduction to Linear Programming
  8. Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
  9. Chapter 4: Linear Programming Applications
  10. Chapter 5: Linear Programming: the Simplex Method
  11. Chapter 6: Simplex-Based Sensitivity Analysis and Duality
  12. Chapter 7: Transportation, Assignment and Transshipment Problems
  13. Chapter 8: Network Models
  14. Chapter 9: Project Scheduling: PERT/CPM
  15. Chapter 10: Inventory Models
  16. Chapter 11: Queuing Models
  17. Chapter 12: Simulation
  18. Chapter 13: Decision Analysis
  19. Chapter 14: Multicriteria Decisions
  20. Online Chapter 15: Integer Linear Programming
  21. Online Chapter 16: Forecasting
  22. Online Chapter 17: Dynamic Programming
  23. Online Chapter 18: Markov Processes
  24. Appendices
  25. Glossary
  26. Index