A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Post-disaster reconstruction supply chain: Empirical optimization study
Abstract This research proposes the development of a resilience location-routing model for Post-Disaster Reconstruction Supply Chain (PDRSC) endeavors under a government-funded project and cooperation of government and private companies, which can (i) optimize the allotment of restricted reconstruction resources to damaged areas; (ii) minimize the costs of location, routing, and disruption in the post-disaster reconstruction circumstances; (iii) evaluate and determine the total performance loss of damaged distribution networks during recovery processes; (iv) appraise the effect of limited access to resources on reconstruction costs; and (v) minimize the efficiency loss of distribution networks and reconstruction costs associated with providing resources. Furthermore, a real-case study is investigated to evaluate the application of the model. This study contributes to the literature on the optimization-based design of reconstruction networks under disruption risks and supports informed decision-making by regional authorities to enhance the resilience of urban areas to cope with the damages of destructive catastrophes.
Highlights Designing a new supply chain reconstruction under disruption. Considering a set covering model with covering radius for each type of constructional resource. Satisfying the possibility of demand for each temporary accommodation node from more than one temporary distribution center. Considering the possibility of disruption in the capacity of TRDWs and routes, and the number of truck travels. Considering fairness in allocating resources between two temporary accommodation nodes in the damaged areas. Using the FMEA method to tackle with route disruptions and the CVaR measure to investigate risk in disaster management.
Post-disaster reconstruction supply chain: Empirical optimization study
Abstract This research proposes the development of a resilience location-routing model for Post-Disaster Reconstruction Supply Chain (PDRSC) endeavors under a government-funded project and cooperation of government and private companies, which can (i) optimize the allotment of restricted reconstruction resources to damaged areas; (ii) minimize the costs of location, routing, and disruption in the post-disaster reconstruction circumstances; (iii) evaluate and determine the total performance loss of damaged distribution networks during recovery processes; (iv) appraise the effect of limited access to resources on reconstruction costs; and (v) minimize the efficiency loss of distribution networks and reconstruction costs associated with providing resources. Furthermore, a real-case study is investigated to evaluate the application of the model. This study contributes to the literature on the optimization-based design of reconstruction networks under disruption risks and supports informed decision-making by regional authorities to enhance the resilience of urban areas to cope with the damages of destructive catastrophes.
Highlights Designing a new supply chain reconstruction under disruption. Considering a set covering model with covering radius for each type of constructional resource. Satisfying the possibility of demand for each temporary accommodation node from more than one temporary distribution center. Considering the possibility of disruption in the capacity of TRDWs and routes, and the number of truck travels. Considering fairness in allocating resources between two temporary accommodation nodes in the damaged areas. Using the FMEA method to tackle with route disruptions and the CVaR measure to investigate risk in disaster management.
Post-disaster reconstruction supply chain: Empirical optimization study
Zokaee, Mahsa (author) / Tavakkoli-Moghaddam, Reza (author) / Rahimi, Yaser (author)
2021-06-13
Article (Journal)
Electronic Resource
English
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