An Introduction to the Mathematics of Planning and Scheduling
eBook - ePub

An Introduction to the Mathematics of Planning and Scheduling

  1. 210 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

An Introduction to the Mathematics of Planning and Scheduling

About this book

This book introduces readers to the many variables and constraints involved in planning and scheduling complex systems, such as airline flights and university courses. Students will become acquainted with the necessity for scheduling activities under conditions of limited resources in industrial and service environments, and become familiar with methods of problem solving.

Written by an expert author with decades of teaching and industry experience, the book provides a comprehensive explanation of the mathematical foundations to solving complex requirements, helping students to understand underlying models, to navigate software applications more easily, and to apply sophisticated solutions to project management. This is emphasized by real-world examples, which follow the components of the manufacturing process from inventory to production to delivery.

Undergraduate and graduate students of industrial engineering, systems engineering, and operations management will find this book useful in understanding optimization with respect to planning and scheduling.

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Yes, you can access An Introduction to the Mathematics of Planning and Scheduling by Geza Paul Bottlik in PDF and/or ePUB format, as well as other popular books in Business & Business Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2017
Print ISBN
9781138197299
eBook ISBN
9781482259278

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of Figures
  7. Preface
  8. 1 Introduction
  9. 2 A Brief History
  10. 3 Inventory
  11. 4 Production Planning
  12. 5 Manufacturing Requirements Planning
  13. 6 Scheduling Problems
  14. 7 Generation of Schedules
  15. 8 Algorithms for One-Machine Problems
  16. 9 Algorithms for Two-Machine Problems and Extensions to Multiple Machines
  17. 10 Implicit Enumerations
  18. 11 Optimization
  19. 12 Heuristic Approaches
  20. 13 Parallel Machines and Worst Case Bounds
  21. 14 Relaxation of Assumptions
  22. 15 Dynamic and Stochastic Problems
  23. Appendix A Costing of Products and Services
  24. Appendix B Project Scheduling
  25. Appendix C Hard Problems and NP-Completeness
  26. Appendix D Problems
  27. Bibliography
  28. References
  29. Index