Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (10): 2303-2311.doi: 10.16182/j.issn1004731x.joss.21-0568

• National Economy Simulation • Previous Articles    

Simulation of Emergency Medical Materials Collaborative Distribution Considering Supplier Clustering

Zhe Wang1,2(), Hongyuan Shao1,2, Zihao Cong1,2, Wenwen Ma3()   

  1. 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
    3.Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
  • Received:2021-06-18 Revised:2021-08-14 Online:2022-10-30 Published:2022-10-18
  • Contact: Wenwen Ma E-mail:philo_wang@163.com;287146776@qq.com

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.

Key words: public health emergencies, emergency medical supplies, location allocation problem, fuzzy clustering, public private collaboration, non-dominated sorting genetic algorithm (NSGA-Ⅱ)

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