An Introduction to the Mathematics of Planning and Scheduling / Edition 1

An Introduction to the Mathematics of Planning and Scheduling / Edition 1

by Geza Paul Bottlik
ISBN-10:
1482259214
ISBN-13:
9781482259216
Pub. Date:
02/27/2017
Publisher:
Taylor & Francis
ISBN-10:
1482259214
ISBN-13:
9781482259216
Pub. Date:
02/27/2017
Publisher:
Taylor & Francis
An Introduction to the Mathematics of Planning and Scheduling / Edition 1

An Introduction to the Mathematics of Planning and Scheduling / Edition 1

by Geza Paul Bottlik

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Overview

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.


Product Details

ISBN-13: 9781482259216
Publisher: Taylor & Francis
Publication date: 02/27/2017
Pages: 226
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Geza Paul Bottlik is an Associate Professor of Engineering Practice at the University of Southern California, USA.

Table of Contents

List of Figures

Preface

  1. Introduction
  2. A brief history

  3. Inventory

  4. Production Planning

  5. Manufacturing Requirements Planning

  6. Scheduling Problems

  7. Generation of Schedules

  8. Algorithms for One-Machine Problems

  9. Algorithms for Two-Machine Problems and Extensions to Multiple Machines

  10. Implicit Enumerations

  11. Optimization

  12. Heuristic Approaches

  13. Parallel Machines and Worst Case Bounds
  14. Relaxation of Assumptions

  15. Dynamic and Stochastic problems

Appendix A: Costing of Products and Services


Appendix B: Project Scheduling


Appendix C: Hard Problems and NP-Completeness


Appendix D: Problems

Bibliography

References

Index

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