Sustailient supplier selection using neutrosophic best–worst approach: a case study of additively manufactured trinkets

IF 4.5 Q1 MANAGEMENT

Benchmarking-An International Journal Pub Date : 2023-07-04 DOI:10.1108/bij-02-2023-0122

Priya Ambilkar, Priyanka Verma, Debabrata Das

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引用次数: 0

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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使用中性最佳-最差方法的可持续供应商选择:增材制造饰品的案例研究

本研究工作开发了一个集成的模糊德尔菲和中性最佳-最差框架，用于为增材制造(AM)支持的行业选择可持续(可持续和有弹性)的供应商。设计/方法/方法提出了一种综合模糊德尔菲法(FDM)和中性最佳-最差法(N-BWM)方法。使用FDM识别并验证了34个供应商评估标准，分为4组，即传统，可持续，弹性和AM特定。然后，用N-BWM法测量各指标的权重。然后，进行绩效评估，以确定最适合的供应商。最后，进行敏感性分析以了解所提出框架的稳定性和鲁棒性。结果表明，建议的决策框架的高性能。分析表明，基于FDM和N-BWM方法，选择供应商4 (S4)为给定企业的最合适供应商。研究局限/启示通过3d打印饰品制造商的工业案例证明了该框架的适用性。拟议的研究有助于AM决策者更好地理解弹性、可持续性和AM相关属性。有了这个，在AM业务中工作的从业者可以优先考虑供应商选择标准。原创性/价值这是一项最原始的研究，它承担了支持am的公司选择供应商的最关键方面。除此之外，一个集成的FDM-N-BWM框架是对供应商选择文献的一个新颖贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Benchmarking-An International Journal MANAGEMENT-

CiteScore

10.40

自引率

16.10%

发文量

154

期刊介绍： Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.