Simulation of Emergency Medical Materials Collaborative Distribution Considering Supplier Clustering

Authors

Zhe Wang, 1.China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;2.School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;Follow
Hongyuan Shao, 1.China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;2.School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Zihao Cong, 1.China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;2.School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Wenwen Ma, 3.Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China;Follow

Abstract

Abstract: Aiming at the insufficient local government medical material reserves and low distribution efficiency to public health emergencies, consider supplier clustering a two-stage emergency medical supplies public-private collaborative location and alloation model is designed. In for disaster preparedness, fuzzy clustering algorithm to realize supplier clustering, and a cooperation mechanism with the government is establish realize the joint storage of emergency medical supplies; In the early stage of rescue, relying on the government and various suppliers' material storage and transportation capabilities, a location allocation simulation model to minimize the weighted sum of total logistics cost and demand unsatisfied rate is constructed. An improved non-dominated sorting genetic algorithm is designed to solve this two-stage model. An example of the design of medical supplies scheduling in Wuhan during Covid-19 epidemic and the impact of supplier clustering on the model is compared. The simulation results show that the model has advantages in coordinating the emergency medical supplies reserve, transportation and scheduling decisions of the government and suppliers.

Recommended Citation

Wang, Zhe; Shao, Hongyuan; Cong, Zihao; and Ma, Wenwen (2022) "Simulation of Emergency Medical Materials Collaborative Distribution Considering Supplier Clustering," Journal of System Simulation: Vol. 34: Iss. 10, Article 20.
DOI: 10.16182/j.issn1004731x.joss.21-0568
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss10/20

First Page

2303

Revised Date

2021-08-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0568

Last Page

2311

CLC

TP319.9

Recommended Citation

Zhe Wang, Hongyuan Shao, Zihao Cong, Wenwen Ma. Simulation of Emergency Medical Materials Collaborative Distribution Considering Supplier Clustering[J]. Journal of System Simulation, 2022, 34(10): 2303-2311.

Corresponding Author

Wenwen Ma,287146776@qq.com

DOI

10.16182/j.issn1004731x.joss.21-0568