International Journal of Environmental Research and Public Health · 2019 · 54 citations · 22 references
ManagementRisk ManagementSupply Chain ManagementEmergency ManagementLogistics ManagementRisk AnalysisEmergency LogisticsLogistics Network DesignLogistics NetworksLogistics Risk ManagementRescue OperationsSupply Chain RiskComplex Network AnalysisComplex Network TheoryDisaster SitesMaterial ReliabilityRescueRisk In Logistics NetworksRisk PropagationWarehouse Stocks
Emergency logistics is critical for disaster response, yet scheduling problems and supply shortages can trigger random risks that threaten rescue capacity and system integrity. The study aims to model emergency logistics risk propagation by incorporating material reliability into a complex‑network framework. The authors construct a complex‑network emergency logistics model and apply an enhanced epidemic‑type model to examine how network structure, material reliability, and rescue speed influence risk spread. Key risk‑control factors were identified and countermeasures proposed, which can curb risk propagation and mitigate economic losses.
Emergency logistics plays an important role in the rescue process after sudden disasters. However, in the process of emergency logistics activities, risks may arise due to scheduling problems or insufficient supply of warehouse stocks, resulting in an insufficient rescue capacity. In addition, the risk of emergency logistics is random and may exist in a certain link or throughout the whole rescue process of emergency logistics. Consequently, the disaster site may be invaded by sudden disaster risk due to the lack of necessary material supplies. The entire emergency logistics system may be destroyed and cause even greater losses as well. Based on this phenomenon, this paper introduces reliability factors of materials and combines the complex network theory to build an emergency logistics network and analyze the emergency logistics risk propagation mechanism. This paper firstly builds an emergency logistics network based on complex network theory. Then, it combines the improved epidemic model to analyze the influencing factors of risk propagation in the emergency logistics network. Finally, this paper probes into the emergency logistics risk propagation mechanisms and processes in terms of network type, material reliability, rescue speed, etc. Furthermore, this paper identifies key factors for risk control and proposes countermeasures to further spread risks, thereby reducing the risk to loss of economic life.
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