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The Contribution concept for the control of a manufacturing multi-criteria performance improvement

Author

Listed:
  • L. Berrah

    (Université Savoie Mont Blanc)

  • V. Clivillé

    (Université Savoie Mont Blanc)

  • J. Montmain

    (ENSTIMA Site EERIE – parc scientifique Georges Besse)

  • G. Mauris

    (Université Savoie Mont Blanc)

Abstract

By dealing with an overall manufacturing performance improvement context, we introduce in this paper the “improvement contribution” concept. A framework that integrates such a concept to the quantification of a multi-criteria interacting performance is proposed. The improvement contribution is defined as a new intelligent functionality that quantifies the impact of the improvement of a single (or a set of) mono-criterion performance(s) on the improvement of an overall performance. When performances are interacting, the quantification of such a contribution cannot be direct. The proposed approach consists of an extension of a previously developed Performance Measurement System (PMS). The considered PMS integrates an aggregation operator—the Choquet Integral (CI)—for the expression of an overall performance by handling weights and interactions between the mono-criterion performances. The principles of the improvement contribution and its quantification are thus presented in addition to the way the improvement contribution can be used for helping decision-makers in their manufacturing improvement control. As an illustration, the use of these contributions within successive iterations of improvement actions is shown using a case study submitted by the SME Fournier Company.

Suggested Citation

  • L. Berrah & V. Clivillé & J. Montmain & G. Mauris, 2019. "The Contribution concept for the control of a manufacturing multi-criteria performance improvement," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 47-58, January.
  • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1227-9
    DOI: 10.1007/s10845-016-1227-9
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    References listed on IDEAS

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