ABSTRACT

Sustainability has become one of the most important issues in the field of supply chain management (SCM). In recent years, many studies have been conducted about how to select a sustainable supplier and different methods have been proposed for this purpose in fuzzy and deterministic environments. A review of the research literature reveals that decision-makers have paid more attention to the results of fuzzy-based studies because they are more accurate and precise in collecting data. The purpose of this paper is to present a new model with a triangular fuzzy approach for sustainable supplier selection (SSS) in the supply chain. The proposed fuzzy model is based on the best-worst method (BWM) and α-cut analysis in which the decision-maker (DM) can determine the alpha value between 0.1 and 0.9, depending on the level of uncertainty. A high value of alpha indicates low uncertainty and its low value indicates a high uncertainty in decision-making. To illustrate the model and demonstrate its capability, a real SSS case in Iran Khodro Company (IKCO), was examined by three experts in the automotive industry and the decision criteria were selected based on the literature review and expert opinions. The results show that the first supplier (ISACO Parts Supply Company) is the most sustainable supplier.

摘要

可持续性已成为供应链管理（SCM）领域中最重要的问题之一。近年来，已经进行了许多有关如何选择可持续供应商的研究，并且为此在模糊和确定性环境中提出了不同的方法。对研究文献的回顾表明，决策者更加重视基于模糊的研究的结果，因为它们在收集数据方面更加准确。本文的目的是提出一种采用三角模糊方法的新模型，用于供应链中的可持续供应商选择（SSS）。所提出的模糊模型基于最佳最差方法（BWM）和α割分析，决策者（DM）可以根据不确定性的程度确定alpha值在0.1到0.9之间。alpha值高表示不确定性低，alpha值低表示决策中的不确定性高。为了说明该模型并展示其功能，汽车行业的三位专家对Iran Khodro Company（IKCO）的实际SSS案例进行了研究，并根据文献综述和专家意见选择了决策标准。结果表明，第一个供应商（ISACO零件供应公司）是最可持续的供应商。