IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v27y2017i3p363-379.html
   My bibliography  Save this article

Configuration selection in reconfigurable manufacturing system based on reconfigurability

Author

Listed:
  • Kamal Kumar Mittal
  • Pramod Kumar Jain
  • Dinesh Kumar

Abstract

Reconfigurable manufacturing systems (RMS) are considered as a major resource of providing variable production capacities and capabilities by different manufacturing companies. For different products needed in small quantities and with short delivery lead time, this is achieved through reconfiguring the system elements over time. There is a need to develop a suitable performance index for mapping the manufacturing system characteristics. To find the reconfigurability of RMS considering the different characteristics such as modularity, convertibility and diagnosability an index has been developed in this paper. Using weighted sum theory, these characteristics have been mapped together. A case study is given to understand the applicability of the proposed methodology on a given system.

Suggested Citation

  • Kamal Kumar Mittal & Pramod Kumar Jain & Dinesh Kumar, 2017. "Configuration selection in reconfigurable manufacturing system based on reconfigurability," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 363-379.
  • Handle: RePEc:ids:ijlsma:v:27:y:2017:i:3:p:363-379
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=84471
    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. Zhang, Yongjin & Zhao, Ming & Zhang, Yanjun & Pan, Ruilin & Cai, Jing, 2020. "Dynamic and steady-state performance analysis for multi-state repairable reconfigurable manufacturing systems with buffers," European Journal of Operational Research, Elsevier, vol. 283(2), pages 491-510.

    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:ijlsma:v:27:y:2017:i:3:p:363-379. 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=134 .

    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.