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系统工程属性在增强供应链韧性中的作用:COVID-19大流行背景下的医疗保健

Role of systems engineering attributes in enhancing supply chain resilience: Healthcare in context of COVID-19 pandemic.

作者信息

Hossain Niamat Ullah Ibne, Fazio Steven A, Lawrence Jeanne-Marie, Santibanez Gonzalez Ernesto Dr, Jaradat Raed, Alvarado Maria Santos

机构信息

Engineering Management Department, College of Engineering and Computer Science, Arkansas State University, P.O. Box 1740, State University, AR, 72467, USA.

Department of Industrial and Systems Engineering, Mississippi State University, PO Box 9542, Mississippi State, 39762, USA.

出版信息

Heliyon. 2022 Jun;8(6):e09592. doi: 10.1016/j.heliyon.2022.e09592. Epub 2022 Jun 6.

DOI:10.1016/j.heliyon.2022.e09592
PMID:35721689
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9194741/
Abstract

In recent years, the area of supply chain resilience has received heightened attention as a plethora of new risks, ranging from climate change to cybersecurity and infectious diseases, have emerged as serious threats to operational performance. The COVID-19 pandemic, in particular, has exposed the fragility of global supply chains in many sectors. Given these concerns, supply chain networks, including those designed based on the principles of lean philosophies, are increasingly being re-examined as firms grapple with the challenge of strengthening the capacity to withstand, absorb, and rebound from unexpected shocks. Addressing the urgency of this imperative, this study presents a novel framework-based on theories and concepts in the systems engineering (SE) and supply chain resilience domains to enhance the resilience implementation capabilities that are lacking in many of today's firms. By applying a Grounded Theory methodology, this study develops and validates a conceptual model that identifies six core attributes fundamental to developing resilience capabilities in complex supply chains. The study concludes by providing examples of, and insights into, the role of these attributes in building supply chain resilience.

摘要

近年来,供应链韧性领域受到了更多关注,因为从气候变化到网络安全和传染病等大量新风险已成为运营绩效的严重威胁。特别是新冠疫情暴露了许多行业全球供应链的脆弱性。鉴于这些担忧,包括基于精益理念设计的供应链网络在内,随着企业努力应对加强抵御、吸收意外冲击并从中反弹能力的挑战,这些网络正越来越多地被重新审视。为应对这一紧迫需求,本研究提出了一个基于系统工程(SE)和供应链韧性领域的理论与概念的新颖框架,以增强当今许多企业所缺乏的韧性实施能力。通过应用扎根理论方法,本研究开发并验证了一个概念模型,该模型确定了复杂供应链中发展韧性能力的六个核心属性。研究最后给出了这些属性在构建供应链韧性中的作用示例及见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a94a762066e0/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/25c9e3d003c3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a995d2b39ad7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/b3cc08442b40/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/b943a03b67cd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a9a153496b13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a3c0a46809f6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/9af8184050cb/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a94a762066e0/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/25c9e3d003c3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a995d2b39ad7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/b3cc08442b40/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/b943a03b67cd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a9a153496b13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a3c0a46809f6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/9af8184050cb/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f54/9207617/a94a762066e0/gr8.jpg

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本文引用的文献

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Contributing factors to personal protective equipment shortages during the COVID-19 pandemic.导致个人防护设备短缺的因素在 COVID-19 大流行期间。
Prev Med. 2020 Dec;141:106263. doi: 10.1016/j.ypmed.2020.106263. Epub 2020 Oct 2.
2
Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic.弹性分析在供应链建模中的趋势与应用:COVID-19大流行背景下的系统文献综述
Environ Syst Decis. 2020;40(2):222-243. doi: 10.1007/s10669-020-09777-w. Epub 2020 May 30.
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Leveraging a Bayesian network approach to model and analyze supplier vulnerability to severe weather risk: A case study of the U.S. pharmaceutical supply chain following Hurricane Maria.
利用贝叶斯网络方法对供应商遭受极端天气风险的脆弱性进行建模和分析:以飓风玛丽亚过后的美国药品供应链为例。
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