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A consensual group ELECTRE-SORT approach considering the incomparable classes with the application of machine maintenance strategy assignment

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  • Liang, Decui
  • Fu, Yuanyuan
  • Ishizaka, Alessio

Abstract

Group sorting problems have attracted extensive attention, which have been successfully applied to support management decisions. However, these existing studies rarely involve the incomparable classes and the group participant may lead to the sorting conflict. Thus, in face of the group sorting problem based on the incomparable classes, by learning ELECTRE-SORT and experts’ evaluations, this paper proposes a consensual group ELECTRE-SORT approach to obtain a hierarchical structure of the incomparable classes and further determine the consensual sorting result. Specifically, for describing the consensus of the hierarchical structure, we transform the credibility matrix of central profile into 0–1 matrix to establish the consensus index of the hierarchical structure of the incomparable classes. Based on the consensual hierarchical structure, we design the consensus index of mixed classes in incomparable situation. Considering the different adjustment motivations of experts on each criterion, we introduce cost sensitivity and adjustment tolerance. In this case, we further develop a minimum cost sensitivity adjustment model in view of the credibility matrix of central profile and sorting results. Finally, we use an example of assigning machines to incomparable maintenance strategies to explain our proposed consensual GELECTRE-SORT in detail. We also perform a comparative analysis to verify the effectiveness of our proposed method.

Suggested Citation

  • Liang, Decui & Fu, Yuanyuan & Ishizaka, Alessio, 2023. "A consensual group ELECTRE-SORT approach considering the incomparable classes with the application of machine maintenance strategy assignment," Omega, Elsevier, vol. 118(C).
  • Handle: RePEc:eee:jomega:v:118:y:2023:i:c:s0305048323000154
    DOI: 10.1016/j.omega.2023.102849
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    References listed on IDEAS

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    1. Francineide Morais Bezerra & Paulo Melo & João Paulo Costa, 2017. "Reaching Consensus with VICA-ELECTRE TRI: A Case Study," Group Decision and Negotiation, Springer, vol. 26(6), pages 1145-1171, November.
    2. Araz, Ceyhun & Ozkarahan, Irem, 2007. "Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure," International Journal of Production Economics, Elsevier, vol. 106(2), pages 585-606, April.
    3. Xunjie Gou & Zeshui Xu & Xinxin Wang & Huchang Liao, 2021. "Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making," Fuzzy Optimization and Decision Making, Springer, vol. 20(1), pages 51-79, March.
    4. B. Kirubakaran & M. Ilangkumaran, 2016. "Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS," Annals of Operations Research, Springer, vol. 245(1), pages 285-313, October.
    5. Franco, L. Alberto & Rouwette, Etiënne A.J.A. & Korzilius, Hubert, 2016. "Different paths to consensus? The impact of need for closure on model-supported group conflict management," European Journal of Operational Research, Elsevier, vol. 249(3), pages 878-889.
    6. Alessio Ishizaka & Cristina López, 2019. "Cost-benefit AHPSort for performance analysis of offshore providers," International Journal of Production Research, Taylor & Francis Journals, vol. 57(13), pages 4261-4277, July.
    7. Ishizaka, Alessio & Lolli, Francesco & Balugani, Elia & Cavallieri, Rita & Gamberini, Rita, 2018. "DEASort: Assigning items with data envelopment analysis in ABC classes," International Journal of Production Economics, Elsevier, vol. 199(C), pages 7-15.
    8. Ishizaka, Alessio & Nemery, Philippe, 2014. "Assigning machines to incomparable maintenance strategies with ELECTRE-SORT," Omega, Elsevier, vol. 47(C), pages 45-59.
    9. Zhang, Bowen & Dong, Yucheng & Zhang, Hengjie & Pedrycz, Witold, 2020. "Consensus mechanism with maximum-return modifications and minimum-cost feedback: A perspective of game theory," European Journal of Operational Research, Elsevier, vol. 287(2), pages 546-559.
    10. Alsyouf, Imad, 2007. "The role of maintenance in improving companies' productivity and profitability," International Journal of Production Economics, Elsevier, vol. 105(1), pages 70-78, January.
    11. Galo, Nadya Regina & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2018. "A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI," International Journal of Production Economics, Elsevier, vol. 202(C), pages 182-196.
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