Production Control Systems

A Guide to Enhance Performance of Pull Systems
1. Auflage 2016
ISBN: 978-4-431-55196-6
Verlag: Springer Japan

Buch, Englisch, 105 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 366 g

Reihe: Management for Professionals

Selecting a suitable production control policy is a challenging task for managers because the superiority of one control over the other is controversial. This book analyzes pull production systems and provides a guideline to choose and implement a proper control policy in production processes. By employing a proper control policy the maximum possible throughput of the production system can be achieved with the minimum work-in-process inventory. Kanban, CONWIP, and base-stock as wellknown pull control policies are analyzed and analytical comparisons among them in multistage serial and assembly production processes are presented. Illustrated by carefully chosen examples and supported by analytical solutions, discussions provided 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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Khojasteh, Yacob

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie

Inhaltsverzeichnis

Introduction (Pull and Push Systems, Just-in-Time Systems, Need for Control Systems in a Pull Context).- Unified View of Pull Production Systems.- The Magic of Pull Production Systems.- A Unified Framework for Production Control Systems.- Analysis of Control Systems in Serial Production Lines.- Analysis of Control Systems in Assembly Production Systems.- Conclusions.- Appendix.

Über Autor(innen)

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.