Simulation-based severe weather-induced container terminal economic loss estimation

Abstract

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Port disruptions due to natural disasters: Insights into port and logistics resilience

“…Interestingly, an increase in wind-induced port disruptions is reported, while disruptions associated with storm surges have decreased. Cao and Lam (2019) assess weather-induced port disruptions between 2013 and 2017 for the Port of Shenzhen, finding a total number of 170 weather events that caused downtime. The authors find that the month March has an average monthly downtime of seven days between 2013 and 2017, mainly associated with fog, whereas the months of July and August have an average monthly downtime of around four days due to typhoons and rain.…”

“…port-level, regional-level, national-level). Port-level approaches either use hydrodynamic or weather-simulating models in combination with operational thresholds of ports (Camus et al, 2019;Esteban et al, 2016;Sierra et al, 2017;Zhang and Lam, 2015) or a simulation model of the port functioning in order to estimate the economic losses of downtime for a port (Cao and Lam, 2019;Zhang and Lam, 2016). The abovementioned studies rely on a relationship between the event (e.g.…”

“…Those focusing on disruptions from natural disasters or extreme weather have implemented durations in the order of 1 -10 days (Cao and Lam, 2019;Jones et al, 2011;Pant et al, 2014;Lam, 2016, 2015). Others have assumed longer closures such as 14 days (Pant et al, 2015;Paul and Maloni, 2010), 30 days (Thekdi and Santos, 2016) or two months (Achurra-Gonzalez et al, 2019b), with the latter focusing on a specific earthquake event.…”

“…10 day disruptions occurs once every x years). Moreover, most of the aforementioned studies only consider single port disruptions (Camus et al, 2019;Cao and Lam, 2019;Pant et al, 2015;Park et al, 2008;Rose et al, 2018;Rose and Wei, 2013;Thekdi and Santos, 2016;Zhang and Lam, 2016). However, a single versus multiple port disruption scenario might affect the results in terms of losses and system response.…”

WITHDRAWN: The analysis of disruption management due to COVID-19 using business continuity management and house of risk on maritime operations

“…Furthermore, it appears that maritime operations are highly susceptible to disruptions. Firstly, some researches have shown that natural disaster made great impact to maritime business as it generated the highest impact due to disruption events such as economic loss and downtime (Lam & Su, 2015;Lam & Lassa, 2017;Cao, 2019). Another findings are operational risk like equipment breakdown or failure and shortage of facilities may are the key factors in causing great disruptions in maritime operations (Loh et al, 2017).…”