ArticleEnvironmental science and pollution research international2022
An emergency supplies scheduling for chemical industry park: based on super network theory.
Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Police emergency dispatch model based on emergency level analysis and traffic planning.PloS one · 2026Article
- Heterogeneity and spatiotemporal evolution characteristics of regional emergency logistics response capacity: a case of China.Frontiers in public health · 2025Article
- Dynamic changes and improvement paths of China's emergency logistics response capabilities under public emergencies-research based on the entropy weight TOPSIS method.Frontiers in public health · 2024Article
- The Application of the Improved Jellyfish Search Algorithm in a Site Selection Model of an Emergency Logistics Distribution Center Considering Time Satisfaction.Biomimetics (Basel, Switzerland) · 2023Article
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2 authors.
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Abstract
In a concentrated area of chemical industry parks (CIPs), emergency relief efficiency is not only affected by the rescue capability of themselves, but also their coordination relationships with other CIPs. Previous studies focus on the location of resource warehouse and the scheduling of logistics transportation, in the relief process after unexpected events, but rarely integrate them ideally in practice. This paper utilizes the super network theory to propose a regional emergency scheduling model to improve collaboration efficiency among primary relief centers (PRC), local relief centers (LRC), and CIPs. So, the proposed super network model fills the research gap of only considering emergency logistic supply chain and provides decision scheme regarding the emergency material dispatch plan. We developed a modified projection algorithm to solve the scheduling problem by turning it to a variational inequality and compare the performance under several disaster scenarios. The practicability of the model is proved by the result of the numerical example given.
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