Applied Soft Computing ( IF 8.7 ) Pub Date : 2020-06-11 , DOI: 10.1016/j.asoc.2020.106456 Sepehr Hendiani , Amin Mahmoudi , Huchang Liao
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.
中文翻译:
可持续供应商选择的多阶段多准则层次决策方法
可持续供应商的选择因其对系统的盈利能力,可调节性,灵活性和敏捷性的影响而被称为供应链中的关键目标。这项研究提出了一种新的基于多阶段分层模糊指数的方法,决策者有权根据可持续性三重底线标准选择最可持续的供应商。此外,针对梯形模糊隶属度函数,提出了一种新的模糊扩展方法,该方法可以覆盖不确定环境下的不确定性。这项研究为可持续供应链的文献做出了贡献,因为它通过收集最相关的标准和简单明了的模糊过程,促进了先前决策方法的计算复杂性。除了,根据供应商的可持续发展绩效,采用分级平均积分表示法对供应商进行优先排序,与以往的排名方法相比,提高了选择的准确性。拟议的研究可以用作供应商之间可持续性评估的基准。解决了一个实际案例研究,以说明所提出模型的优越性和广泛应用。