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新冠疫情爆发期间易腐产品供应链网络风险的因果关系分析:基于毕达哥拉斯模糊环境的扩展决策试验与评价实验室方法

A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment.

作者信息

Shafiee Mohammad, Zare-Mehrjerdi Yahia, Govindan Kannan, Dastgoshade Sohaib

机构信息

Department of Industrial Engineering, Yazd University, Yazd, Iran.

Centre for Sustainable Supply Chain Engineering, Department of Technology and Innovation, Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark.

出版信息

Transp Res E Logist Transp Rev. 2022 Jul;163:102759. doi: 10.1016/j.tre.2022.102759. Epub 2022 May 26.

DOI:10.1016/j.tre.2022.102759
PMID:35637683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9132792/
Abstract

In nowadays world, firms are encountered with many challenges that can jeopardize business continuity. Recently, the coronavirus has brought some problems for supply chain networks. Remarkably, perishable product supply chain networks, such as pharmaceutical, dairy, blood, and food supply chains deal with more sophisticated situations. Generally, during pandemic outbreaks, the activities of these industries can play an influential role in society. On the one hand, products of these industries are considered to be daily necessities for living. However, on the other hand, there are many new restrictions to control the coronavirus prevalence, such as closing down all official gatherings and lessening the work hours, which subsequently affect the economic growth and gross domestic product. Therefore, risk assessment can be a useful tool to forestall side-effects of the coronavirus outbreaks on supply chain networks. To that aim, the decision-making trial and evaluation laboratory approach is used to evaluate the risks to perishable product supply chain networks during the coronavirus outbreak era. Feedback from academics was received to identify the most important risks. Then, experts in pharmaceutical, food, and dairy industries were inquired to specify the interrelations among risks. Then, Pythagorean fuzzy sets are employed in order to take the uncertainty of the experts' judgments into account. Finally, analyses demonstrated that the perishability of products, unhealthy working conditions, supply-side risks, and work-hours are highly influential risks that can easily affect other risk factors. Plus, it turned out that competitive risks are the most susceptive risk in the effect category. In other words, competition among perishable product supply chain networks has become even more fierce during the coronavirus outbreak era. The practical outcomes of this study provide a wide range of insights for managers and decision-makers in order to prevent risks to perishable product supply chain networks during the coronavirus outbreak era.

摘要

在当今世界,企业面临着许多可能危及业务连续性的挑战。最近,冠状病毒给供应链网络带来了一些问题。值得注意的是,易腐产品供应链网络,如制药、乳制品、血液和食品供应链,面临着更为复杂的情况。一般来说,在疫情爆发期间,这些行业的活动会在社会中发挥重要作用。一方面,这些行业的产品被视为生活必需品。然而,另一方面,为控制冠状病毒的传播实施了许多新的限制措施,如取消所有官方集会和减少工作时间,这随后影响了经济增长和国内生产总值。因此,风险评估可以成为预防冠状病毒爆发对供应链网络产生副作用的有用工具。为此,采用决策试验与评价实验室方法来评估冠状病毒爆发期间易腐产品供应链网络的风险。收集了学者的反馈意见以确定最重要的风险。然后,向制药、食品和乳制品行业的专家询问,以明确风险之间的相互关系。接着,运用毕达哥拉斯模糊集来考虑专家判断的不确定性。最后,分析表明产品的易腐性、不健康的工作条件、供应方风险和工作时间是极具影响力的风险,很容易影响其他风险因素。此外,结果表明竞争风险是影响类别中最敏感的风险。换句话说,在冠状病毒爆发期间,易腐产品供应链网络之间的竞争变得更加激烈。本研究的实际成果为管理者和决策者提供了广泛的见解,以便在冠状病毒爆发期间预防易腐产品供应链网络面临的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/dcf99c2b347c/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/a0f90d556efb/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/e9bd10c18aa5/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/dcf99c2b347c/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/a0f90d556efb/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/e9bd10c18aa5/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa4/9132792/dcf99c2b347c/gr3_lrg.jpg

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