The COVID-19 pandemic has exposed vulnerabilities in global supply chains,leading to economic damage and product shortages caused by demand surges and supply disruptions.Concurrently,geopolitical conflicts and the ris...The COVID-19 pandemic has exposed vulnerabilities in global supply chains,leading to economic damage and product shortages caused by demand surges and supply disruptions.Concurrently,geopolitical conflicts and the rising frequency of natural disasters due to climate change have amplified the urgency to develop strategies for building resilient supply chains.This article presents a comprehensive literature review on inventory management strategies for enhancing supply chain resilience,such as stockpiling,multi-sourcing,capacity reservation,and flexible supply contracts.We classify these strategies into two categories:one deals with supply-side disruption risks,and the other deals with demand-side disruption risks.For each category,we summarize the practical challenges,the state-of-art research,and potential avenues for future research.展开更多
The efficiency of post-disaster relief operations is impacted by the design of the emergency supply networks in the earthquake preparedness phase.This paper proposes a bi-objective mixed integer programming model to i...The efficiency of post-disaster relief operations is impacted by the design of the emergency supply networks in the earthquake preparedness phase.This paper proposes a bi-objective mixed integer programming model to improve the preparedness of the emergency supply network.The maximization of connectivity reliability and relief is taken as the objective function as the design perspectives were inclined towards prioritizing human survival over cost.The number and location of storage points,the preset level and the prematching of demand nodes with their supply storage points are determined based on this.Then,applicability is evaluated through numerical examples,and critical parameters are demonstrated by sensitivity analysis.Finally,practicality is evaluated through practical examples.The results demonstrate that the method in this paper designs an emergency supply network with high reliability and relief level.The reliability of the supply network is improved by 42.3%and the rescue level reaches 96.6%compared with the preoptimization period.Results may provide theoretical support for urban pre-earthquake preparedness and can help traffic planners and local governments formulate better earthquake prevention strategies.展开更多
基金supported by the National Natural Science Foundation of China(72104131).
文摘The COVID-19 pandemic has exposed vulnerabilities in global supply chains,leading to economic damage and product shortages caused by demand surges and supply disruptions.Concurrently,geopolitical conflicts and the rising frequency of natural disasters due to climate change have amplified the urgency to develop strategies for building resilient supply chains.This article presents a comprehensive literature review on inventory management strategies for enhancing supply chain resilience,such as stockpiling,multi-sourcing,capacity reservation,and flexible supply contracts.We classify these strategies into two categories:one deals with supply-side disruption risks,and the other deals with demand-side disruption risks.For each category,we summarize the practical challenges,the state-of-art research,and potential avenues for future research.
基金supported by the National Natural Science Foundation of China(Grants No.52372302 and 52172304)the Key Funding Project of Hebei Provincial Department of Science and Technology(Grant No.22370801D).
文摘The efficiency of post-disaster relief operations is impacted by the design of the emergency supply networks in the earthquake preparedness phase.This paper proposes a bi-objective mixed integer programming model to improve the preparedness of the emergency supply network.The maximization of connectivity reliability and relief is taken as the objective function as the design perspectives were inclined towards prioritizing human survival over cost.The number and location of storage points,the preset level and the prematching of demand nodes with their supply storage points are determined based on this.Then,applicability is evaluated through numerical examples,and critical parameters are demonstrated by sensitivity analysis.Finally,practicality is evaluated through practical examples.The results demonstrate that the method in this paper designs an emergency supply network with high reliability and relief level.The reliability of the supply network is improved by 42.3%and the rescue level reaches 96.6%compared with the preoptimization period.Results may provide theoretical support for urban pre-earthquake preparedness and can help traffic planners and local governments formulate better earthquake prevention strategies.
