Supply Chain Disruption Models: A Critical Review
Enterprises affected by supply chain disruptions have reported adverse consequences and dramatic financial losses. Within the research area of supply chain risk management, researchers use simulation models and algorithms to analyze disruption risks and their potential effects on the supply cha...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BVL
2018-06-01
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Series: | Logistics Research |
Subjects: | |
Online Access: | https://www.bvl.de/lore/all-volumes--issues/volume-11/issue-1/supply-chain-disruption-models-a-critical-review |
Summary: | Enterprises affected by supply chain disruptions have
reported adverse consequences and dramatic financial
losses. Within the research area of supply chain risk
management, researchers use simulation models
and algorithms to analyze disruption risks and their
potential effects on the supply chain. Supply chain
disruption risk models focus on ways to quantify
and assess disruption risks, study interdependencies
between them, and explore the dynamic behavior of
risks as they propagate through the network. So far, no
review has covered and evaluated quantitative decision
models which focus on these specific network-related
risk characteristics. This paper derives a definition
for supply chain disruption risk models and analyzes
existing approaches on the basis of requirements
derived from the literature. Its aims are to structure
existing approaches, reveal their shortcomings, and
guide future research efforts to improve prospective
models systematically. This analysis reveals potential
improvements regarding the simultaneous integration
of dynamic and interdependent aspects of disruption
risks in the supply chain model as well as their
propagation through the network. More process steps
of a supply chain risk management framework should
be supported and more mitigation strategies should be
incorporated to expand the scope and usefulness of the
models. |
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ISSN: | 1865-035X 1865-0368 |