A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection
A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection
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DOI：
10.1016/j.asoc.2020.106456
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发表时间：
2020-09-01
影响因子：
8.7
通讯作者：
Liao, Huchang
中科院分区：
文献类型：
--
作者：
Hendiani, Sepehr;Mahmoudi, Amin;Liao, Huchang
可持续供应商选择是供应链中的一个重要目标，因为它影响到系统的盈利能力、可接受性、灵活性和敏捷性。本研究提出一种新的多阶段层次模糊指数为基础的方法，决策者有权选择最可持续的供应商的基础上可持续性三重底线标准。此外，一个新的模糊扩展的最好的最坏的方法，提出了考虑梯形模糊隶属函数，可以覆盖不精确环境下的不确定性。这项研究作出了贡献，文献的可持续供应链的意义上，它有利于计算复杂性以前的决策方法，通过收集最相关的标准和一个简单的模糊过程。此外，采用分级平均集成表示方法，根据供应商的可持续发展绩效进行优先级排序，与以往的排序方法相比，提高了选择的准确性。拟议的研究可用作供应商之间可持续性评估的基准。一个真实世界的案例研究解决了所提出的模型的优越性和广泛的应用。(C)2020爱思唯尔B.V.保留所有权利。
Sustainable supplier selection is known as a crucial objective in supply chains due to its impact on profitability, adorability, flexibility, and agility of the system. This study proposes a new multi-stage hierarchical fuzzy index-based approach with which decision-makers are empowered to select the most sustainable supplier based on sustainability triple bottom line criteria. Besides, a new fuzzy extension for the best-worst method is proposed considering trapezoidal fuzzy membership functions that can cover uncertainty under imprecise environments. This study makes a contribution to the literature of sustainable supply chains in the sense that it facilitates the computational complexity of previous decision-making approaches by collecting the most relevant criteria and a straightforward fuzzy process. Besides, the graded mean integration representation method has been adopted for prioritizing the supplier based on their performance of sustainable development, which enhances the accuracy of selection compared with previous ranking methods. The proposed study can be utilized as a benchmark for sustainability evaluations between suppliers. A real-world case study is resolved to illustrate the superiority and broad application of the proposed model. (C) 2020 Elsevier B.V. All rights reserved.