IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v3y2018i3id60651.html

Assessment of Alternative Manufacturing Work Cells for SMEs

Author

Listed:
  • Ateekh Ur Rehman

    (Associate Professor, King Saud University, College of Engineering, Industrial Engineering Department, Riyadh-11421, Saudi Arabia; arehman@ksu.edu.sa)

Abstract

Globally small and medium-sized manufacturing enterprises (SMEs) are confronting serious challenges due to dynamic market demands. In pursuit of such situations they opt to be lean and flexible. Their demand have numerous varieties in product geometry and manufacturing processes. To cater such demand among the several existing strategies, reconfigurable manufacturing work cell (RWC) is the most prudent choice owing to its numerous benefits. This study offer an assessment lens to those who look for reconfiguration of their manufacturing setup. It is prudent to consider various RWC alternatives while wanting to reconfigure existing configuration change from time to time. The paper proposes a grey relational approach coupled with fuzzy analytical hierarchy weight to evaluate alternative RWCs. The simulation platform is adopted to exhibit performance of each RWC. The developed approach is to aid decision makers in identifying the most suitable RWC for the SME.

Suggested Citation

  • Ateekh Ur Rehman, 2018. "Assessment of Alternative Manufacturing Work Cells for SMEs," European Journal of Engineering and Technology Research, European Open Science, vol. 3(3), pages 30-35, March.
    • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:3:id:60651
    DOI: 10.24018/ejeng.2018.3.3.651
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60651
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60651/11849
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2018.3.3.651?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejeng0:v:3:y:2018:i:3:id:60651. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.