Since many suppliers were disrupted due to the COVID-19, disruption risk arouses reserachers' attention. The literature I have ever read can be divided into two parts. The first one is the probability that a disruption risk event happens, and the second one is the severity of disruption on a supply chain. They may use Bayesian network to locate the most risky node or risk triggers, or use Perti-net to identify the risk propagation path through calculating changes in parameters like on-delivery rate and pocuremnet cost. I would like to know if there are any different methods applied in supply chain disruption analysis, or are there any new/hot research branches of a supply chain from the disruption risk perspective. Thank you all for your apply!
Dear Jin Shi,
I suggest you to see links on topic.
https://www.researchgate.net/publication/320762415_What_is_Supply_Chain_Risk_Management_A_Review
https://link.springer.com/chapter/10.1007%2F978-3-658-26954-8_6
https://www.researchgate.net/publication/348570502_Ripple_effect_and_supply_chain_disruption_management_new_trends_and_research_directions
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437773/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014293/
Best regards
Worldwide shortages of shipping containers is a cause 100% it's not so much manufacturing most still have supply its shipping into containers that is the cause
In the USA main ports are full of empty containers in fact millions are left sold or destroyed as its dearer to ship back to the port in come from than the cost of its purchase return 110%
Bayesian network can use to identify the relationship between variables and to calculate probabilities. But If we consider down stream SC, it's mainly covering through 7 segments as follows,
RAW Material
Inbound logistics
Inbound warehousing
Manufacturing
Outbound warehousing
Outbound Logistics
Customer
COVID 19 conditions are affected to all above sectors.
Out of which with my experience and knowledge, Inbound and out bound logistics created the main bottleneck to trigger this supply chain disruption.
We can analyze above 7 segments in detail separately with available data in the market. This will give you a better picture about the condition and where it has disrupted mostly in this chain.
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