| Title | Sustailient supplier selection using neutrosophic best-worst approach: a case study of additively manufactured trinkets |
|---|---|
| ID_Doc | 67207 |
| Authors | Ambilkar, P; Verma, P; Das, D |
| Title | Sustailient supplier selection using neutrosophic best-worst approach: a case study of additively manufactured trinkets |
| Year | 2024 |
| Published | Benchmarking-An International Journal, 31, 5 |
| Abstract | PurposeThis research work has developed an integrated fuzzy Delphi and neutrosophic best-worst framework for selecting the sustailient (sustainable and resilient) supplier for an additive manufacturing (AM)-enabled industry.Design/methodology/approachAn integrated fuzzy Delphi method (FDM) and neutrosophic best-worst method (N-BWM) approach is developed. 34 supplier evaluation criteria falling under 4 groups, that is, traditional, sustainable, resilient, and AM specific, are identified and validated using the FDM. Afterward, the weights of each criterion are measured by N-BWM. Later on, the performance evaluation is carried out to determine the best-suited supplier. Finally, sensitivity analysis is performed to know the stability and robustness of the proposed framework.FindingsThe outcome indicates the high performance of the suggested decision-making framework. The analysis reveals that supplier 4 (S4) is selected as the most appropriate for a given firm based on the FDM and N-BWM method.Research limitations/implicationsThe applicability of this framework is demonstrated through an industrial case of a 3D-printed trinket manufacturer. The proposed research helps AM decision-makers better understand resiliency, sustainability, and AM-related attributes. With this, the practitioners working in AM business can prioritize the supplier selection criteria.Originality/valueThis is the primitive study to undertake the most critical aspect of supplier selection for AM-enabled firms. Apart from this, an integrated FDM-N-BWM framework is a novel contribution to the literature on supplier selection. |
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