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新冠疫情期间供应链生存能力建模及针对低负荷级联故障的适应性研究

Modeling supply chain viability and adaptation against underload cascading failure during the COVID-19 pandemic.

作者信息

Liu Hong, Han Yunyan, Zhu Anding

机构信息

School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018 People's Republic of China.

School of Management and E-Business, Zhejiang Gongshang University, Hangzhou, 310018 People's Republic of China.

出版信息

Nonlinear Dyn. 2022;110(3):2931-2947. doi: 10.1007/s11071-022-07741-8. Epub 2022 Aug 21.

DOI:10.1007/s11071-022-07741-8
PMID:36035015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9392865/
Abstract

UNLABELLED

Supply chain viability concerns the entire supply system rather than one company or one single chain to survive COVID-19 disruptions. Mobility restriction and overall demand decline lead to systematically cascading disruptions that are more severe and longer lasting than those caused by natural disasters and political conflicts. In the present study, the authors find that large companies and manufacturers with traditional advantages suffer greater losses than small ones, which is conceptualized as the "" by empirically investigating one Warp Knitting Industrial Zone of China. An underload cascading failure model is employed to simulate supply chain viability under disruptions. Numerical simulations demonstrate that when the load decreases beyond a threshold, the viability will drop down critically. Besides, supply chain viability depends on two aspects: the adaptive capability of the manufacturers themselves and the adaptive capability of the connections of the supply network. The comparison study demonstrates that enhancing cooperative relations between hub and non-hub manufacturers will facilitate the entire supply network viability. The present study sheds light on viable supply chain management. Compared with conventionally linear or resilient supply chains, intertwined supply networks can leverage viability with higher adaptation of redistributing production capacities among manufacturers to re-establish overall scale advantages. Finally, the present study also suggests solving the "" from the perspective of complex adaptive system.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11071-022-07741-8.

摘要

未标注

供应链的生存能力关乎整个供应系统,而非某一家公司或单一链条在新冠疫情干扰下的存活情况。行动限制和整体需求下降导致系统性的连锁中断,其比自然灾害和政治冲突造成的中断更为严重且持续时间更长。在本研究中,作者通过对中国一个经编工业区进行实证调查发现,具有传统优势的大公司和制造商比小公司遭受的损失更大,这被概念化为“ ”。采用欠载连锁故障模型来模拟干扰下的供应链生存能力。数值模拟表明,当负载降至阈值以下时,生存能力将急剧下降。此外,供应链的生存能力取决于两个方面:制造商自身的适应能力以及供应网络连接的适应能力。比较研究表明,加强核心制造商与非核心制造商之间的合作关系将有助于提高整个供应网络的生存能力。本研究为可行的供应链管理提供了启示。与传统的线性或弹性供应链相比,相互交织的供应网络可以通过在制造商之间更高程度地重新分配生产能力以重建整体规模优势来利用生存能力。最后,本研究还建议从复杂自适应系统的角度解决“ ”问题。

补充信息

在线版本包含可在10.1007/s11071-022-07741-8获取的补充材料。

注

原文中部分引号处内容缺失,已按原样翻译。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/d2a9100a8b26/11071_2022_7741_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/b941392cfccb/11071_2022_7741_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/ad80c054cc1c/11071_2022_7741_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/50dec7a530bf/11071_2022_7741_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/d7c9ad833237/11071_2022_7741_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/00297cbb3236/11071_2022_7741_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/6d0e97813fe4/11071_2022_7741_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c170/9392865/d2a9100a8b26/11071_2022_7741_Fig8_HTML.jpg

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