IDEAS home Printed from https://ideas.repec.org/a/ids/ijmcph/v10y2017i2p147-164.html
   My bibliography  Save this article

Designing robust stochastic bi-objective cellular layout in manufacturing systems

Author

Listed:
  • Ravi Kumar
  • Surya Prakash Singh

Abstract

In today's competitive and challenging environment, product demand and product mix change very rapidly. To match with the rapid variations in product demand and product mix, layout should be effective and efficient to incorporate all these uncertainties over different time periods. One way to design effective and efficient layout is to make it robust which should be capable to absorb uncertainty in demand and product mix. The paper proposes a novel robust stochastic bi-quadratic assignment programming (RSbi-QAP) model. The proposed robust layout is stochastic bi-objective cellular facility layout in manufacturing systems. The proposed model also incorporates the stochastic demand for multi-products in multi-time periods, and simultaneously minimises material handling cost (MHC) and maximises similarity score (SS). To demonstrate the working methodology of the proposed model numerical illustration is also provided.

Suggested Citation

  • Ravi Kumar & Surya Prakash Singh, 2017. "Designing robust stochastic bi-objective cellular layout in manufacturing systems," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 10(2), pages 147-164.
    • Handle: RePEc:ids:ijmcph:v:10:y:2017:i:2:p:147-164
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=84045
    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. Shruti Shashikumar & Rakesh D. Raut & Vaibhav S. Narwane & Bhaskar B. Gardas & Balkrishna E. Narkhede & Anjali Awasthi, 2019. "A novel approach to determine the cell formation using heuristics approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 628-656, 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:ijmcph:v:10:y:2017:i:2:p:147-164. 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=90 .

    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.