IDEAS home Printed from
   My bibliography  Save this article

Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework


  • L. Berrah
  • J. Montmain
  • G. Mauris
  • V. Cliville


The major industrial control purpose is the reaching of the expected performances. In this sense, improvement processes are continuously carried out in order to define the right actions with regard to the objectives achievement. Thus, in order to better monitor the performance continuous improvement process, we consider a quantitative model for performance assessment. The industrial performance being multi-criteria, the proposed model is thus based on the one hand, on the MACBETH method to express quantitatively elementary performances from qualitative expert pair-wise comparisons and, on the other hand, on the Choquet integral to express the overall performance according to subordination and transverse interactions between the elementary performances. Then, the main focus concerns the decision-maker's requirements for optimising the improvement of the overall performance versus the allocated resources. In this view, we propose useful pieces of information first for diagnosis, then for overall performance improvement optimisation versus the costs of elementary performance improvements. Finally, the proposed approach is applied to an industrial case looking for optimising the improvement of the lean objective satisfaction related to the throughput time of hydraulic component manufacturing.

Suggested Citation

  • L. Berrah & J. Montmain & G. Mauris & V. Cliville, 2011. "Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 3(1), pages 42-65.
  • Handle: RePEc:ids:injdan:v:3:y:2011:i:1:p:42-65

    Download full text from publisher

    File URL:
    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 are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. L. Berrah & V. Clivillé & J. Montmain & G. Mauris, 0. "The Contribution concept for the control of a manufacturing multi-criteria performance improvement," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-12.


    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:injdan:v:3:y:2011:i:1:p:42-65. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.