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A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment

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Abstract

Circular supply chain management (CSCM), which incorporates circular thinking into supply chain management, promotes supply chain sustainability by offering a novel and compelling viewpoint. In the CSCM, supplier selection is crucial in establishing a competitive edge among businesses by decreasing environmental degradation and related supply chain expenses. This paper aims to propose a novel two-phase group decision-making approach, which combines the picture fuzzy Analytical Hierarchical Process (PF-AHP) and grey Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS-G) model to select railway material suppliers within the scope of circular economy perspective. In group decision-making, a picture fuzzy number-based approach aggregates individual decision makers’(DMs) opinions and provides a lower level of computing complexity and a higher level of performance. The PF-AHP has been used to produce the weights of the criteria, and the MARCOS-G technique has been used to rank the suppliers and choose the most appropriate one. The results and verification of the novel method are carried out throughout a comprehensive sensitivity analysis. For this purpose, 50 scenarios with changes in the weight values of criteria were developed. In the validation analysis, a comparison with other grey COPRAS, TOPSIS, ARAS and WASPAS methods were performed. Due to the ranking results obtained from Spearman’s correlation analyses, the MARCOS-G is almost consistent and it can be seen that the A4 remains the top supplier in all 50 scenarios.

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Acknowledgements

The author would like to thank all participants of this study for their great cooperation. The author would like to express gratitude to the editors and anonymous referees for their informative, helpful remarks and suggestions to improve this paper as well as the important guiding significance to our researches.

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Authors and Affiliations

  1. Department of Industrial Engineering, Munzur University, Tunceli, Turkey

    Sema Kayapinar Kaya

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  1. Sema Kayapinar Kaya
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Conceptualization, Software, Methodology, Validation, Writing, Visualization, Editing, Review, Original draft preparation, Resources, Editing, S.K.K. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Sema Kayapinar Kaya.

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Appendix 1

Appendix 1

The random index (RI)

Matrix size

1–2

3

4

5

6

7

8

RI

0.00

0.58

0.90

1.12

1.24

1.32

1.41

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Kaya, S.K. A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment. Environ Sci Pollut Res 30, 34135–34157 (2023). https://doi.org/10.1007/s11356-022-24486-4

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