Abstract
The outbreak of unconventional emergencies leads to a surge in demand for emergency supplies. How to effectively arrange emergency production processes and improve production efficiency is significant. The emergency manufacturing systems are typically complex systems, which are difficult to be analyzed by using physical experiments. Based on the theory of Random Service System (RSS) and Parallel Emergency Management System (PeMS), a parallel simulation and optimization framework of production processes for surging demand of emergency supplies is constructed. Under this novel framework, an artificial system model paralleling with the real scenarios is established and optimized by the parallel implementation processes. Furthermore, a concrete example of mask shortage, which occurred at Huoshenshan Hospital in the COVID-19 pandemic, verifies the feasibility of this method.
Highlights
Unconventional emergencies are characterized by heavy casualties, huge economic losses, and constraints on social development
Compared with the modeling approaches developed by these scholars, the parallel simulation and optimization framework proposed in this paper based on Random Service System (RSS)-Parallel Emergency Management System (PeMS) is more advantageous in dynamically evolving disaster scenarios
Use the idea of parallelism between real scenarios and artificial models— building and iteratively optimizing artificial models based on real-time data [17], which can better simulate the actual needs of real scenarios, solving the problem that the previous methods are difficult to dynamically model and analyze the dynamic demand that evolves with disasters in complex and changing epidemic scenarios
Summary
Unconventional emergencies are characterized by heavy casualties, huge economic losses, and constraints on social development. Various unconventional emergencies, such as COVID-19 and SARS, occur frequently and tend to erupt in a short time, triggering the surging demand for emergency supplies during the initial phase of the outbreak. Hospitals and other public places will consume large amounts of protective materials and equipment. The public will blindly purchase a large number of protective products due to information asymmetry and fear of unknown viruses [1]. If the manufacturing system fails to formulate an emergency response plan in time to meet the surging demand, it will result in more severe casualties and more significant economic losses [2]
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