Open AccessResearch on Optimization Strategy of Cold-chain Logistics Car Scheduling
Author(s) -
Aimin Yang,
Jie Liu,
Yue Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1910/1/012033
Subject(s) - cold chain , scheduling (production processes) , genetic algorithm , computer science , path (computing) , transport engineering , operations research , operations management , engineering , computer network , mechanical engineering , machine learning
In this paper, aiming at the vehicle information supervision problem existing in the transportation process of the third-party small and medium-sized cold chain logistics enterprises, combined with the actual monitoring demand of the vehicle, the cold chain logistics vehicle dynamic monitoring system is designed, and the vehicle scheduling optimization algorithm in the system is carried out. The study. In the aspect of vehicle scheduling in the system, an optimized genetic algorithm is used to find the optimal transportation path and reduce the transportation cost before transportation by planning the transportation sequence and path of the site.