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Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives

Author

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  • Hana Ayadi

    (IUT de Montreuil, University of Paris 8, 93100 Montreuil, France
    INSSET, University of Picardie Jules Verne, 02100 Saint Quentin, France
    ISGIS, University of Sfax, Sfax 3021, Tunisia)

  • Nadia Hamani

    (INSSET, University of Picardie Jules Verne, 02100 Saint Quentin, France)

  • Lyes Kermad

    (IUT de Montreuil, University of Paris 8, 93100 Montreuil, France)

  • Mounir Benaissa

    (ISGIS, University of Sfax, Sfax 3021, Tunisia)

Abstract

The purpose of this paper is to help decision-makers choose the location of a logistics platform with sustainability perspectives. This study presents a compensatory and partially compensatory approach to build composite indicators, using mainly fuzzy multi-criteria decision-making methods. In the first instance, the fuzzy full consistency method (F-FUCOM) was used to calculate the weight of the criteria and sub-criteria. In the second instance, two aggregation methods, namely the fuzzy multi-attribute ideal-real comparative analysis (F-MAIRCA) and the fuzzy preference ranking organization method for enrichment evaluation (F-PROMETHEE), were used to rank the location of a logistics platform. The novelty of the work lays in studying the impact of limited sustainability and weak sustainability on the location of a logistics platform. In this respect, the aggregation of various sustainability criterion in fuzzy compensatory and partially compensatory composite indicators is an innovative and interesting approach used to locate a logistics platform. The obtained results show that economic sustainability is the most important criterion for the selection of a logistics platform, followed by the environmental criterion. Obviously, the F-MAIRCA and F-PROMETHEE methods provided the same ranking orders. Finally, sensitivity analyses were performed to validate the robustness of the proposed approach.

Suggested Citation

  • Hana Ayadi & Nadia Hamani & Lyes Kermad & Mounir Benaissa, 2021. "Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives," Sustainability, MDPI, vol. 13(7), pages 1-37, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3891-:d:527973
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    1. Islem Snoussi & Nadia Hamani & Nassim Mrabti & Lyes Kermad, 2021. "A Robust Mixed-Integer Linear Programming Model for Sustainable Collaborative Distribution," Mathematics, MDPI, vol. 9(18), pages 1-27, September.

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