Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (09): 1988-1998.doi: 10.16182/j.issn1004731x.joss.21-0362

• Modeling Theory and Methodology • Previous Articles     Next Articles

Particle Swarm Algorithm for Solving Emergency Material Dispatch Considering Urgency

Li Zhang(), Huizhen Zhang(), Dong Liu, Yuxin Lu   

  1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2021-04-21 Revised:2021-08-08 Online:2022-09-18 Published:2022-09-23
  • Contact: Huizhen Zhang E-mail:15871731805@163.com;zhzzywz@163.com

Abstract:

In the early stage of major public health events, medical supplies are rapidly consumed and severely insufficient. In order to distribute medical supplies in a reasonable and efficient manner, research on the distribution of emergency medical materials is carried out. The entropy method is introduced to determine the urgency of demand points, thus could give priority to the demand points with high urgency and make the distribution routing as short as possible on that basis to realize the construction of a split delivery and multi-objective emergency medical materials scheduling model based on different urgency of demand points. Meanwhile the particle swarm optimization algorithm is improved by using dynamic intertia weight and adding particle disturbance term to solve the model. The results show that this method can efficiently solve the problem of emergency material allocation and vehicle routing plan generation under the condition of resource shortage.

Key words: entropy method, demand urgency, emergency medical supplies scheduling, multi-objective particle swarm algorithm, path planning

CLC Number: