IDEAS home Printed from https://ideas.repec.org/a/ids/ijemec/v6y2018i2-3p186-206.html
   My bibliography  Save this article

A comparative analysis of quantitative-based methods used for lean index assessment

Author

Listed:
  • Omogbai Oleghe
  • Konstantinos Salonitis

Abstract

The lean index is a holistic measure of lean performance. Its assessment has been approached using qualitative and quantitative-based methods. While the qualitative based methods are of the self-assessment type, there is no such congruence with quantitative-based ones. This inconsistency can lead to confusion as to which quantitative-based methods should be adopted for specific situations. We attempt to address this issue by applying and comparing some quantitative-based methods within a manufacturing system case. Four methods based on analytical hierarchy process, data envelopment analysis, factor analysis and fuzzy logic, were set apart after a literature review, and applied to the production performance dataset of the case. The methods returned different lean index results thereby providing varied information about system lean performance. Sensitivity tests revealed the data envelopment analysis method to be the most robust.

Suggested Citation

  • Omogbai Oleghe & Konstantinos Salonitis, 2018. "A comparative analysis of quantitative-based methods used for lean index assessment," International Journal of Engineering Management and Economics, Inderscience Enterprises Ltd, vol. 6(2/3), pages 186-206.
    • Handle: RePEc:ids:ijemec:v:6:y:2018:i:2/3:p:186-206
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95633
    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.

    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:ijemec:v:6:y:2018:i:2/3:p:186-206. 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=299 .

    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.