Overview
- Discusses the basic properties of scheduling models
- Provides exercises at the end of each chapter with solutions manual available to instructors
- Includes supplementary material
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Table of contents (20 chapters)
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Front Matter
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Deterministic Models
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Front Matter
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Scheduling in Practice
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Front Matter
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Keywords
About this book
The sixth edition provides expanded Discussion and Comments and References sections at the end of each chapter, creating a spotlight on practical applications of the theory presented in that chapter. New topics include rules for stochastic parallel machine scheduling and for stochastic online scheduling, models of flow shops with reentry, fixed parameter tractability, and new designs and implementations of scheduling systems.
The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling in practice; it covers heuristics that are popular with practitioners and discusses system design and implementation issues. All three parts of this new edition have been revamped and streamlined and the references have been made up-to-date.
Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations research, industrial engineering, and computer science will find the book an accessible and invaluable resource. Scheduling - Theory, Algorithms, and Systems will serve as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments.
Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Scheduling
Book Subtitle: Theory, Algorithms, and Systems
Authors: Michael L. Pinedo
DOI: https://doi.org/10.1007/978-3-031-05921-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-05920-9Published: 14 December 2022
Softcover ISBN: 978-3-031-05923-0Published: 14 December 2023
eBook ISBN: 978-3-031-05921-6Published: 13 December 2022
Edition Number: 6
Number of Pages: XVII, 698
Number of Illustrations: 105 b/w illustrations, 24 illustrations in colour
Topics: Operations Research, Management Science, Industrial and Production Engineering, Probability Theory and Stochastic Processes, Systems Theory, Control