Open AccessParallel simulation and optimization framework of supplies production processes for unconventional emergencies
Author(s) -
Dan Zhu,
Yaoyao Wei,
Hainan Huang,
Tao Xie
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0261771
Subject(s) - computer science , production (economics) , rss , emergency management , complex system , economic shortage , operations research , engineering , artificial intelligence , linguistics , philosophy , government (linguistics) , political science , law , economics , macroeconomics , operating system
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.