Purpose

In recent years, a number of researchers have attempted to make an integration of sustainability with supply chain risk management. These studies have led to valued insights into this issue, though there is still a lack of knowledge about the mechanisms by which sustainability-related issues are materialized as risks in the supply chain management.

Design/methodology/approach

The paper aims to provide a comprehensive framework to evaluate the sustainability risk in the supply chain management mechanism. To do so, a novel approach using the double normalization-based multiple aggregation (DNMA) approach under the intuitionistic fuzzy (IF) environment is extended to identify, rank and evaluate the sustainability risk factors in supply chain management.

Findings

To provide comprehensive sustainability risk factors, this study has conducted a survey using interview and literature review. In this regard, this study identified 36 sustainability risk factors in supply chain management of the manufacturing firms in five different groups of risk, including sustainable operational risk factors, economic risk factors, environmental risk factors, social risk factors, and sustainable distribution and recycling risk factors. The results of this paper found that the poor planning and scheduling was the important sustainability risk in supply chain management of the manufacturing firms, followed by the environmental accidents, production capacity risk, product design risk and exploitative hiring policies. In addition, the results of the study found that the extended approach was effective and efficient in evaluating the sustainability risk factors in supply chain management of the manufacturing firms.

Originality/value

Three aggregation methods based on the normalization techniques are discussed. A DNMA method is proposed under intuitionistic fuzzy sets (IFSs). To propose a broad procedure for identifying and classifying sustainability risk factors (ESFs) in supply chain management. To rank the sustainability risk factor, the authors utilize a procedure for evaluating the significance degree of the sustainability risk factor in supply chain management.

中文翻译：

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制造企业面临风险的可持续供应链：直觉模糊环境下基于扩展双归一化的多重聚合方法

目的

近年来，许多研究人员试图将可持续性与供应链风险管理相结合。这些研究导致了对这个问题的有价值的见解，尽管仍然缺乏关于可持续性相关问题在供应链管理中被具体化为风险的机制的知识。

设计/方法/方法

本文旨在提供一个全面的框架来评估供应链管理机制中的可持续性风险。为此，扩展了直觉模糊 (IF) 环境下使用基于双归一化的多重聚合 (DNMA) 方法的新方法，以识别、排序和评估供应链管理中的可持续性风险因素。

发现

为了提供全面的可持续性风险因素，本研究使用访谈和文献回顾进行了一项调查。在这方面，本研究确定了制造企业供应链管理中的 36 个可持续性风险因素，分为五类不同的风险，包括可持续经营风险因素、经济风险因素、环境风险因素、社会风险因素以及可持续分销和​​回收风险。因素。本文的结果发现，计划和调度不善是制造企业供应链管理中重要的可持续性风险，其次是环境事故、产能风险、产品设计风险和剥削性招聘政策。此外，

原创性/价值

讨论了基于标准化技术的三种聚合方法。在直觉模糊集（IFS）下提出了一种DNMA方法。提出一个广泛的程序，用于识别和分类供应链管理中的可持续性风险因素 (ESF)。为了对可持续性风险因素进行排名，作者利用一种程序来评估供应链管理中可持续性风险因素的显着性程度。