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基于区间值中智模糊EDAS的供应链可持续性风险策略评估

Evaluation of risk strategies for supply chain sustainability with interval-valued neutrosophic fuzzy EDAS.

作者信息

Alioğulları Ecenur, Türkan Yusuf Sait, Çakmak Emre, Tirkolaee Erfan Babaee

机构信息

Faculty of Engineering, Department of Industrial Engineering, Istanbul University, Cerrahpasa, Istanbul, Turkey.

Department of Industrial Engineering, Istinye University, Istanbul, Turkey.

出版信息

Heliyon. 2024 Sep 27;10(19):e38607. doi: 10.1016/j.heliyon.2024.e38607. eCollection 2024 Oct 15.

Abstract

Sustainability means the most effective and efficient use of existing resources to meet the needs of future and current generations. Nowadays, with the increase in global environmental problems as well as social and economic problems, sustainability in the supply chain of the automotive industry has become increasingly important. In our study, after conducting an extensive literature review in the automotive industry, consulting with experts, and identifying 35 different Sustainability Risks across 5 sustainability dimensions, we proposed a total of 40 risk strategies to mitigate these risks. Using the evaluations of automotive supply chain experts from one of Turkey's leading logistics companies, risk strategies were ranked using the Interval-Valued Neutrosophic Fuzzy Evaluation based on Distance from Average Solution (IVN Fuzzy EDAS) method, and the best strategies were determined. Accordingly, it has been determined that the optimal approach for companies is to establish and implement legal compliance procedures and programs while adhering to prevailing regulations and policies. It aims to make a useful contribution to the literature in terms of covering this subject for the first time with fuzzy EDAS method, adding new sustainability risk dimensions, and developing broad-level risk and risk prevention strategies on the subject. In this study, the interval-valued neutrosophic fuzzy EDAS method was applied for the first time to the issue of sustainability risks in the automotive industry. At the same time, this study aims to contribute to the literature by adding new dimensions to sustainability.

摘要

可持续性意味着最有效和高效地利用现有资源,以满足子孙后代和当代人的需求。如今,随着全球环境问题以及社会和经济问题的增加,汽车行业供应链的可持续性变得越来越重要。在我们的研究中,在对汽车行业进行广泛的文献综述、咨询专家并确定5个可持续性维度中的35种不同的可持续性风险后,我们总共提出了40种风险应对策略来减轻这些风险。利用土耳其一家领先物流公司的汽车供应链专家的评估,采用基于与平均解距离的区间值中智模糊评估(IVN模糊EDAS)方法对风险应对策略进行排序,并确定了最佳策略。据此,已确定公司的最佳方法是在遵守现行法规和政策的同时,建立和实施合规程序及计划。其目的是在首次用模糊EDAS方法涵盖该主题、增加新的可持续性风险维度以及制定该主题的广泛层面的风险及风险预防策略方面,为文献做出有益贡献。在本研究中,区间值中智模糊EDAS方法首次应用于汽车行业的可持续性风险问题。同时,本研究旨在通过为可持续性增加新维度来为文献做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bf3/11471218/ed291b185f82/gr1.jpg

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