IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v18y2014i2p142-158.html
   My bibliography  Save this article

A data envelopment analysis approach for measuring the efficiency in continuous manufacturing lines: a case study

Author

Listed:
  • Ehsan Pourjavad
  • Hadi Shirouyehzad

Abstract

In the competitive contemporary world, every company tries to gain competitive edge. In order to gain which, managers need to consider and analyse the performance of their organisations and decide to improve it. There are various approaches to evaluate the performance, in which the criterion of efficiency of understudy units is being placed in efficiency frontier: data envelopment analysis is one of these approaches that are designed in two radial and non-radial categories. In this paper, the method applied is proposed to compare and analyse similar units of industry on the basis of industry criteria using data envelopment analysis. Industry criteria are considered as inputs and outputs to resolve this problem with DEA. This methodology specifies the strengths and weaknesses of each industry units from industry criteria viewpoints. For a better description, 12 of parallel manufacturing lines from Chadormalu mining-industry company were analysed on the basis of maintenance, product and quality criteria.

Suggested Citation

  • Ehsan Pourjavad & Hadi Shirouyehzad, 2014. "A data envelopment analysis approach for measuring the efficiency in continuous manufacturing lines: a case study," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 18(2), pages 142-158.
  • Handle: RePEc:ids:ijsoma:v:18:y:2014:i:2:p:142-158
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=61998
    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. Raja Prasad S.V.S., 2019. "Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 7(1), pages 98-109, January.
    2. Ehsan Pourjavad & Rene V. Mayorga, 2019. "A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1085-1097, March.

    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:ijsoma:v:18:y:2014:i:2:p:142-158. 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=150 .

    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.