Parallel simulation and optimization framework of supplies production processes for unconventional emergencies.
PLoS One
; 17(1): e0261771, 2022.
Article
in English
| MEDLINE | ID: covidwho-1622341
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Public Health
/
Emergency Service, Hospital
Type of study:
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
PLoS One
Journal subject:
Science
/
Medicine
Year:
2022
Document Type:
Article
Affiliation country:
JOURNAL.PONE.0261771
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