Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic

Choi, Tsan-Ming

doi:10.1016/j.tre.2020.102190

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Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic

Author(s): Tsan-Ming Choi

Publication date Created: January 2021

Publication date (Print): January 2021

Journal: Transportation Research Part E: Logistics and Transportation Review

Publisher: Elsevier BV

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Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Dmitry Ivanov (2020)

Highlights • Epidemic outbreaks are a special case of supply chain (SC) risks. • We articulate the specific features of epidemic outbreaks in SCs. • We demonstrate a simulation model for epidemic outbreak analysis. • We use an example of coronavirus COVID-19 outbreak.

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A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

Kannan Govindan, Hassan Mina, Behrouz Alavi (2020)

Highlights • Developed a practical decision support system for COVID-19 healthcare supply chain. • Grouped people and provided an independent classification method for each group. • Evaluated the efficiency of the proposed approach using real-world data.