Overview
- Provides knowledge and insights into recent advances in scheduling theory with a focus on just-in-time
- Includes contributions on models, theory, algorithms, and applications
- Contributions on models, theory, algorithms, and applications, that bring the theory up-to-date on the state-of-the-art of JIT systems are presented
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 60)
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Table of contents (13 chapters)
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Front Matter
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Just-in-Time Scheduling Systems
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Front Matter
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Just-in-Time Philosophy: Interaction with Other Areas
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Front Matter
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Keywords
About this book
Whether different types of costs are to be reduced, benefits to be maximized or scarce resources to be managed, scheduling theory provides intelligent methods for practitioners and scientists. The just-in-time (JIT) production philosophy has enriched the classical scheduling theory with models that consider characteristics such as inventory costs, set-up times, lot sizing, or maintenance.
This edited volume considers the specifics of just-in-time systems. It provides knowledge and insights on recent advances in scheduling theory where just-in-time aspects are considered. Contributions on models, theory, algorithms, and applications, that bring the theory up-to-date on the state-of-the-art of JIT systems are presented.
Professionals, researchers and graduate students will find this book useful.
Editors and Affiliations
Bibliographic Information
Book Title: Just-in-Time Systems
Editors: Roger Z. Ríos-Mercado, Yasmín A. Ríos-Solís
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4614-1123-9
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-1122-2Published: 08 November 2011
Softcover ISBN: 978-1-4899-9580-3Published: 26 January 2014
eBook ISBN: 978-1-4614-1123-9Published: 09 November 2011
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XII, 308
Topics: Operations Research, Management Science, Mathematical Modeling and Industrial Mathematics, Optimization, Algorithms