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.
Highlights
The emergence of chemical industry parks (CIPs) is the embodiment of development of industrialization processes, with the centralized layout of CIPs, the possibility of major contingency increases
(2) How rescue points are selected under various cases based on the existing distribution of CIPs and other relief centers (RCs)?
Compared with other research tools, the advantage of applying super network theory to solve the problem of cross-regional emergency resource scheduling is that the properties of other dimensions can be mapped onto the benchmark attribute network structure under the premise of selecting the optimal resource allocation to achieve the goal of overall optimization
Summary
The emergence of chemical industry parks (CIPs) is the embodiment of development of industrialization processes, with the centralized layout of CIPs, the possibility of major contingency increases. One factory’s fire at Tianjin Port in China on August 12, 2015 triggered two shocked explosions that caused serious casualties and economic losses and resulted in an extremely negative social impact. Natural hazards, such as earthquakes, floods, and geomagnetic storms, are major latencies in CIPs. All hidden dangers are considered low probability but high-consequence events with significant social impact (Francesca & Matjaž, 2020; Reniers et al, 2005), and providing quick response and improving emergency dispatching capability for the aftermath of an incident in CIPs presents considerable challenges (Rogers et al, 1990; Du et al, 2020)
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