Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency

Kangye Tan, Weihua Liu, Fang Xu and Chunsheng Li ()
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Kangye Tan: School of Business, Macau University of Science and Technology, Macao 999078, China
Weihua Liu: School of Business, Macau University of Science and Technology, Macao 999078, China
Fang Xu: School of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China
Chunsheng Li: School of Business, Macau University of Science and Technology, Macao 999078, China

Mathematics, 2023, vol. 11, issue 5, 1-18

Abstract: The novel coronavirus pandemic is a major global public health emergency, and has presented new challenges and requirements for the timely response and operational stability of emergency logistics that were required to address the major public health events outbreak in China. Based on the problems of insufficient timeliness and high total system cost of emergency logistics distribution in major epidemic situations, this paper takes the minimum vehicle distribution travel cost, time cost, early/late punishment cost, and fixed cost of the vehicle as the target, the soft time window for receiving goods at each demand point, the rated load of the vehicle, the volume, maximum travel of the vehicle in a single delivery as constraints, and an emergency logistics vehicle routing problem optimization model for major epidemics was constructed. The convergence speed improvement strategy, particle search improvement strategy, and elite retention improvement strategy were introduced to improve the particle swarm optimization (PSO) algorithm for it to be suitable for solving global optimization problems. The simulation results prove that the improved PSO algorithm required to solve the emergency medical supplies logistics vehicle routing problem for the major emergency can reach optimal results. Compared with the basic PSO algorithm, the total cost was reduced by 20.09%.

Keywords: emergency logistics; vehicle routing problem optimization; soft time window; improved particle swarm optimization algorithm; major epidemic situation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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