Parallel simulation and optimization framework of supplies production processes for unconventional emergencies

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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.
Funding Information
  • Philosophy and Social Science Foundation Youth Project of Hunan Province of China (19YBQ093)
  • Scientific research project of Education Department (No. 20C1625)
  • the Special Funds for Student Innovation and Entrepreneurship Training Program (S202010555083)
  • Natural Science Foundation of Hunan Province (No. 2018JJ2336)
  • Philosophy and Social Science Foundation of Hunan Province (18YBQ105)
  • Youth talents support program of Hunan Province of China (2018HXQ03)
  • Key scientific research project of Education Department (No. 20A443)
  • Social Science Key Breeding Project of USC (2018XZX16)
  • Doctoral scientific research foundation of USC (No. 2013XQD27)

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