IDEAS home Printed from https://ideas.repec.org/a/ids/ijatma/v6y2006i4p419-439.html
   My bibliography  Save this article

The shift from belt conveyor line to work-cell based assembly systems to cope with increasing demand variation in Japanese industries

Author

Listed:
  • Dario Ikuo Miyake

Abstract

The increasing market turbulence has impelled leading manufacturers to search the development of alternative production systems supposed to enhance their responsiveness to the market. The purpose of this paper is to discuss the turnaround currently observed in some manufacturing industries in Japan, which are migrating to more human-centred production systems. The pattern of production organisation that has emerged from this trend has been called 'cell production system' and should not be confounded with cellular manufacturing system. This paper intends to elucidate the rationality behind the conversion into cell production approach and examines the major features of this production organisation pattern.

Suggested Citation

  • Dario Ikuo Miyake, 2006. "The shift from belt conveyor line to work-cell based assembly systems to cope with increasing demand variation in Japanese industries," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 6(4), pages 419-439.
    • Handle: RePEc:ids:ijatma:v:6:y:2006:i:4:p:419-439
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=12234
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ye Wang & Jiafu Tang, 2022. "Optimized skill configuration for the seru production system under an uncertain demand," Annals of Operations Research, Springer, vol. 316(1), pages 445-465, September.
    2. Zhang, XiaoLi & Liu, ChenGuang & Li, WenJuan & Evans, Steve & Yin, Yong, 2017. "Effects of key enabling technologies for seru production on sustainable performance," Omega, Elsevier, vol. 66(PB), pages 290-307.
    3. Kuo-Ching Ying & Yi-Ju Tsai, 2017. "Minimising total cost for training and assigning multiskilled workers in production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2978-2989, May.
    4. Chang Liu & Zhen Li & Jiafu Tang & Xuequn Wang & Ming-Jong Yao, 2022. "How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China," Annals of Operations Research, Springer, vol. 316(1), pages 529-554, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijatma:v:6:y:2006:i:4:p:419-439. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=2 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.