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Monitoring the improvement of an overall industrial performance based on a Choquet integral aggregation

Author

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  • Berrah, L.
  • Mauris, G.
  • Montmain, J.

Abstract

The design and use of performance measurement systems (PMSs) have received considerable attention in recent years. Indeed, industrial performances are now defined in terms of numerous criteria to be synthesized for overall improvement purposes. The analysis of the literature leads to the conclusion that most of the proposed approaches deal with a qualitative approach of this multi-criteria issue. But only a few quantitative models for PMSs have been proposed in order to better monitor the continuous improvement cycle. Among them, the one proposed by the authors, based on a Choquet integral aggregation operator, allows to express an overall performance according to subordination and transverse interactions between the criteria involved. But, as this model is nonlinear, it is useful to define pieces of information aimed at aiding the manager to improve the performance situation. Thus, this article is a contribution to the managers' requirements for optimizing the improvement of the overall performance versus the allocated resources. In this view, indexes of efficiency and predictive improvement are proposed. The approach is applied to a case study submitted by a company manufacturing kitchen and bathroom furniture which wants to upgrade the monitoring of its "environment and quality improvement plan".

Suggested Citation

  • Berrah, L. & Mauris, G. & Montmain, J., 2008. "Monitoring the improvement of an overall industrial performance based on a Choquet integral aggregation," Omega, Elsevier, vol. 36(3), pages 340-351, June.
  • Handle: RePEc:eee:jomega:v:36:y:2008:i:3:p:340-351
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    References listed on IDEAS

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    1. Grabisch, Michel & Labreuche, Christophe & Vansnick, Jean-Claude, 2003. "On the extension of pseudo-Boolean functions for the aggregation of interacting criteria," European Journal of Operational Research, Elsevier, vol. 148(1), pages 28-47, July.
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    4. Michel Grabisch & Christophe Labreuche, 2004. "Fuzzy measures and integrals in MCDA," Post-Print halshs-00268985, HAL.
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    8. 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.
    9. 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.
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    Citations

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    Cited by:

    1. Michel Grabisch & Christophe Labreuche, 2010. "A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid," Annals of Operations Research, Springer, vol. 175(1), pages 247-286, March.
    2. Koc, T. & Bozdag, E., 2017. "Measuring the degree of novelty of innovation based on Porter's value chain approach," European Journal of Operational Research, Elsevier, vol. 257(2), pages 559-567.
    3. Alessio Ishizaka & Maynard Gordon, 2017. "MACBETHSort: a multiple criteria decision aid procedure for sorting strategic products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 53-61, January.
    4. Denguir-Rekik, Afef & Montmain, Jacky & Mauris, Gilles, 2009. "A possibilistic-valued multi-criteria decision-making support for marketing activities in e-commerce: Feedback Based Diagnosis System," European Journal of Operational Research, Elsevier, vol. 195(3), pages 876-888, June.
    5. Li Zheng & Claude Baron & Philippe Esteban & Rui Xue & Qiang Zhang, 2016. "Pointing out the gap between academic research and supporting software tools in the domain of the performance measurement management of engineering projects," Post-Print hal-01496409, HAL.
    6. Michel Grabisch & Christophe Labreuche, 2008. "A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid," Post-Print halshs-00267932, HAL.
    7. Alessio Bonetti & Silvia Bortot & Mario Fedrizzi & Silvio Giove & Ricardo Alberto Marques Pereira & Andrea Molinari, 2011. "Modelling group processes and effort estimation in Project Management using the Choquet integral: an MCDM approach," DISA Working Papers 2011/12, Department of Computer and Management Sciences, University of Trento, Italy, revised Sep 2011.
    8. Büyüközkan, Gülçin & Feyzioglu, Orhan & Sakir Ersoy, Mehmet, 2009. "Evaluation of 4PL operating models: A decision making approach based on 2-additive Choquet integral," International Journal of Production Economics, Elsevier, vol. 121(1), pages 112-120, September.
    9. Silvia Bortot & Ricardo Alberto Marques Pereira, 2011. "Inconsistency and non-additive Choquet integration in the Analytic Hierarchy Process," DISA Working Papers 2011/06, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jul 2011.
    10. Michel Grabisch & Christophe Labreuche, 2010. "A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid," Post-Print halshs-00496558, HAL.

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