Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic
Maureen S. Golan (),
Laura H. Jernegan () and
Igor Linkov ()
Additional contact information
Maureen S. Golan: Contractor US Army Corps of Engineers, Air Tight Consulting, LLC.
Laura H. Jernegan: Contractor US Army Corps of Engineers, Air Tight Consulting, LLC.
Igor Linkov: US Army Corps of Engineers
Environment Systems and Decisions, 2020, vol. 40, issue 2, 222-243
Abstract:
Abstract The increasingly global context in which businesses operate supports innovation, but also increases uncertainty around supply chain disruptions. The COVID-19 pandemic clearly shows the lack of resilience in supply chains and the impact that disruptions may have on a global network scale as individual supply chain connections and nodes fail. This cascading failure underscores the need for the network analysis and advanced resilience analytics we find lacking in the existing supply chain literature. This paper reviews supply chain resilience literature that focuses on resilience modeling and quantification and connects the supply chain to other networks, including transportation and command and control. We observe a fast increase in the number of relevant papers (only 47 relevant papers were published in 2007–2016, while 94 were found in 2017–2019). We observe that specific disruption scenarios are used to develop and test supply chain resilience models, while uncertainty associated with threats including consideration of “unknown unknowns” remains rare. Publications that utilize more advanced models often focus just on supply chain networks and exclude associated system components such as transportation and command and control (C2) networks, which creates a gap in the research that needs to be bridged. The common goal of supply chain modeling is to optimize efficiency and reduce costs, but trade-offs of efficiency and leanness with flexibility and resilience may not be fully addressed. We conclude that a comprehensive approach to network resilience quantification encompassing the supply chain in the context of other social and physical networks is needed to address the emerging challenges in the field. The connection to systemic threats, such as disease pandemics, is specifically discussed.
Keywords: Resilience; COVID; Supply chain; Risk; Policy; Epidemics (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (90)
Downloads: (external link)
http://link.springer.com/10.1007/s10669-020-09777-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:envsyd:v:40:y:2020:i:2:d:10.1007_s10669-020-09777-w
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10669
DOI: 10.1007/s10669-020-09777-w
Access Statistics for this article
More articles in Environment Systems and Decisions from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().