Authors:
Covers pull production control systems and provide comparisons among them
Presents modeling and analysis tools for pull control systems
Provides a guideline for production managers and practitioners to choose the best control system
Part of the book series: Management for Professionals (MANAGPROF)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
in the book clarify the complexity of the comparisons that show there is no general superiority among the control systems. Th e book explains which structural parameters decide the superiority of one control scheme to the others, and how they are related. Given a confi guration of parameters, such as processing times and number of cards employed in the system, the superior control policy can be selected.
Authors and Affiliations
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Faculty of Liberal Arts, Sophia University, Chiyoda-ku, Japan
Yacob Khojasteh
About the author
Dr. Yacob Khojasteh is an associate professor at the Graduate School of Global Studies, Sophia University, Tokyo, Japan. He received his Ph.D. in engineering from the University of Tsukuba, Japan. He also received his M.Sc. in policy and planning sciences, and in industrial engineering from the University of Tsukuba, and Tarbiat Modares University, respectively. He has over six years of professional experience in industry and consulting. His research interests include production and operations management, supply chain management, logistics and warehousing, systems modeling and optimization, and lean production systems.
Bibliographic Information
Book Title: Production Control Systems
Book Subtitle: A Guide to Enhance Performance of Pull Systems
Authors: Yacob Khojasteh
Series Title: Management for Professionals
DOI: https://doi.org/10.1007/978-4-431-55197-3
Publisher: Springer Tokyo
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer Japan 2016
Hardcover ISBN: 978-4-431-55196-6Published: 03 September 2015
Softcover ISBN: 978-4-431-56275-7Published: 23 August 2016
eBook ISBN: 978-4-431-55197-3Published: 21 August 2015
Series ISSN: 2192-8096
Series E-ISSN: 2192-810X
Edition Number: 1
Number of Pages: XX, 105
Number of Illustrations: 16 b/w illustrations, 2 illustrations in colour
Topics: Industrial Organization, Operations Research/Decision Theory, Operations Management