An emergency supplies scheduling for chemical industry park: based on super network theory

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.