Trends and applications of resilience analytics in supply chain modeling:
systematic literature review in the context of the COVID-19 pandemic
#MMPMID32837820
Golan MS
; Jernegan LH
; Linkov I
Environ Syst Decis
2020[]; 40
(2
): 222-243
PMID32837820
show ga
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.
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