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Evaluation and selection of resilient suppliers in fuzzy environment Exploration of fuzzy-VIKOR

机译:模糊环境下弹性供应商的评价与选择模糊VIKOR的探索

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摘要

Purpose - Supply chains (SCs) have become increasingly vulnerable to catastrophic events/ disruptions that may be natural or man-made. Hurricanes, tsunamis and floods are natural disasters, whereas man-made disasters may be strikes, terrorist attacks, etc. Failure at any point in the SC network has the potential to cause the entire network to fail. SCs must therefore be properly designed to survive well in the disruption scenario. The capability of successful survival (of the firm's SC) against those adverse events/happenings is termed as resilience; and, the SC designed under resilience consideration is called a resilient SC. Effective supplier selection is considered as a key strategic consideration in SC management. It is felt that apart from considering traditional suppliers selection criterions, suppliers' resiliency strategy must be incorporated while selecting a potential supplier which can provide best support to the firm even in the disaster/disruption scenario. The purpose of this paper is to focus aspects of evaluation and selection of resilience supplier by considering general as well as resiliency strategy, simultaneously. Design/methodology/approach - In this work, subjectivity associated with ill-defined (vague) evaluation information has been tackled through logical exploration of fuzzy numbers set theory. Application of VIKOR embedded with fuzzy mathematics has been utilized here. Sensitivity analysis has been performed to reflect the effect of decision-makers' (DM) risk bearing attitude in selecting the best potential supplier in a resilient SC. A case empirical example has also been presented. Findings - The work attempts to focus on a decision-making procedural hierarchy towards effective supplier selection in a resilient SC. The work exhibits application potential of VIKOR method integrated with fuzzy set theory to select potential supplier based on general strategy as well as resiliency strategy. The final supplier selection score (obtained by considering general strategy) and that of obtained by analyzing resiliency strategy have been combined to get a final compromise solution. The decision-support framework thus reported here also considers DMs' risk bearing attitude. Practical implications - The study bears significant impact to the industry managers who are trying to adapt resiliency strategy in their SC followed by potential supplier selection in the context of resilient SC. Originality/value - Exploration of VIKOR embedded with fuzzy set theory towards suppliers' evaluation and selection by considering general and resiliency criteria both. The decision-support module (s) adapted in this paper considers DMs' risk bearing attitude to arrive the best compromise solution.
机译:目的-供应链(SC)越来越容易受到自然或人为的灾难性事件/破坏的影响。飓风,海啸和洪水是自然灾害,而人为灾难则可能是罢工,恐怖袭击等。SC网络中任何点的故障都有可能导致整个网络发生故障。因此,必须对SC进行适当的设计,以使其在中断情况下能够正常生存。那些不利事件/事件的成功生存能力(公司SC的能力)称为应变能力;并且,将根据弹性考虑而设计的SC称为弹性SC。有效的供应商选择被视为供应链管理中的关键战略考虑。人们认为,除了考虑传统的供应商选择标准外,在选择可能即使在灾难/混乱情况下也能为公司提供最佳支持的潜在供应商时,必须纳入供应商的弹性策略。本文的目的是通过同时考虑一般策略和弹性策略,着重于弹性供应商的评估和选择方面。设计/方法/方法-在这项工作中,与模糊(模糊)评估信息相关的主观性已经通过对模糊数集理论的逻辑探索得以解决。在这里利用了嵌入模糊数学的VIKOR的应用。进行了敏感性分析,以反映决策者(DM)承担风险的态度在选择弹性SC中最佳潜在供应商方面的影响。还提供了一个案例经验的例子。调查结果-该工作尝试着重于决策程序层次结构,以在具有弹性的供应链中有效地选择供应商。这项工作展示了VIKOR方法与模糊集理论相结合的应用潜力,可以基于通用策略和弹性策略选择潜在供应商。最终的供应商选择评分(通过考虑通用策略获得)和通过分析弹性策略获得的得分相结合,以获得最终的折衷解决方案。因此,此处报告的决策支持框架还考虑了决策者的风险承担态度。实际意义-该研究对行业经理产生了重大影响,他们试图在其SC中调整弹性策略,然后在SC具有弹性的情况下选择潜在的供应商。原创性/价值-结合模糊集理论探索VIKOR,通过同时考虑通用和弹性标准来评估和选择供应商。本文采用的决策支持模块考虑了决策者的风险承担态度,以得出最佳的折衷解决方案。

著录项

  • 来源
    《Benchmarking》 |2016年第3期|651-673|共23页
  • 作者单位

    Department of Mechanical Engineering, National Institute of Technology, Rourkela, India;

    Department of Mechanical Engineering, National Institute of Technology, Rourkela, India;

    Department of Mechanical Engineering, National Institute of Technology, Rourkela, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Decision-support systems; Supplier evaluation;

    机译:决策支持系统;供应商评估;

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