IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i8p2439-2456.html
   My bibliography  Save this article

Tailoring performance evaluation to specific industrial contexts – application to sustainable mass customisation enterprises

Author

Listed:
  • Khaled Medini
  • Catherine Da Cunha
  • Alain Bernard

Abstract

This paper proposes an approach for measuring performance improvement through prioritising and aggregating performance indicators (PIs). The proposed approach helps practitioners build, in a formal way, their performance measurement systems. The novelty of the methodology lies in: (i) adapting PIs to specific industrial contexts according to companies concerns and (ii) supporting the decision-making process by providing a holistic and limited number of aggregated PIs. The context considered in the current research is sustainable mass customisation (SMC). Accordingly, a set of SMC indicators are used to illustrate the applicability of the methodology. The implementation and illustration with a real case showed some evidence of its usefulness and pointed out several improvement rooms.

Suggested Citation

  • Khaled Medini & Catherine Da Cunha & Alain Bernard, 2015. "Tailoring performance evaluation to specific industrial contexts – application to sustainable mass customisation enterprises," International Journal of Production Research, Taylor & Francis Journals, vol. 53(8), pages 2439-2456, April.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:8:p:2439-2456
    DOI: 10.1080/00207543.2014.974844
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.974844
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.974844?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
    ---><---

    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. Dandan He & Zhongfu Li & Chunlin Wu & Xin Ning, 2018. "An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
    2. Azemeraw Tadesse Mengistu & Roberto Panizzolo, 2023. "Analysis of indicators used for measuring industrial sustainability: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 1979-2005, March.

    More about this item

    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:taf:tprsxx:v:53:y:2015:i:8:p:2439-2456. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.