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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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    1. Suwignjo, P. & Bititci, U. S & Carrie, A. S, 2000. "Quantitative models for performance measurement system," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 231-241, March.
    2. 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.
    3. Bititci, U. S. & Suwignjo, P. & Carrie, A. S., 2001. "Strategy management through quantitative modelling of performance measurement systems," International Journal of Production Economics, Elsevier, vol. 69(1), pages 15-22, January.
    4. Waggoner, Daniel B. & Neely, Andy D. & P. Kennerley, Mike, 1999. "The forces that shape organisational performance measurement systems: An interdisciplinary review," International Journal of Production Economics, Elsevier, vol. 60(1), pages 53-60, April.
    5. François Galasso & Yves Ducq & Matthieu Lauras & Didier Gourc & Mamadou Camara, 2016. "A method to select a successful interoperability solution through a simulation approach," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 217-229, February.
    6. Cliville, Vincent & Berrah, Lamia & Mauris, Gilles, 2007. "Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method," International Journal of Production Economics, Elsevier, vol. 105(1), pages 171-189, January.
    7. Ghalayini, Alaa M. & Noble, James S. & Crowe, Thomas J., 1997. "An integrated dynamic performance measurement system for improving manufacturing competitiveness," International Journal of Production Economics, Elsevier, vol. 48(3), pages 207-225, February.
    8. Christophe Labreuche & Michel Grabisch, 2003. "The Choquet integral for the aggregation of interval scales in multicriteria decision making," Post-Print hal-00272090, HAL.
    9. L. A. Shah & A. Etienne & A. Siadat & F. Vernadat, 2016. "Decision-making in the manufacturing environment using a value-risk graph," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 617-630, June.
    10. Johnson, H. Thomas, 1975. "Management Accounting in an Early Integrated Industrial: E. I. duPont de Nemours Powder Company, 1903-1912," Business History Review, Cambridge University Press, vol. 49(2), pages 184-204, July.
    11. Grabisch, Michel, 1996. "The application of fuzzy integrals in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 89(3), pages 445-456, March.
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