摘要
针对疫苗在实际运输过程中,会面临早晚高峰、不利的天气状况、交通事故等各种情况造成的交通拥堵,使配送速度不定导致的配送成本增加的实际情况,文章提出了一种基于时变速度的疫苗冷链物流路径优化模型,通过数值算例,使用自适应遗传算法对考虑交通情况下的模型和不考虑交通情况下的模型求解,并将结果进行分析比较,结果表明考虑交通情况下的结果更优,并且更具有现实意义。
For vaccines in the actual process of transportation, will face in the morning and evening peak, different weather conditions, all kinds of traffic accidents and other conditions lead to traffic jams make delivery speed variable distribution costs caused by the actual situation, this paper proposes a vaccine cold-chain logistics path optimization model based on time-varying velocity, through a numerical example, the adaptive genetic algorithm is used to solve the model with and without traffic, and the results are compared and analyzed. The results show that the model with traffic is better and has more practical significance.
作者
杜茂康
朱容嘉
陈树
DU Maokang;ZHU Rongjia;CHEN Shu(Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《物流科技》
2023年第1期147-151,共5页
Logistics Sci-Tech
基金
国家自然科学基金项目“适应时间序列预测不确定性的在线概率模型及应用研究”(71901045)。
关键词
疫苗冷链物流
交通情况
自适应遗传算法
时变速度
vaccine cold chain logistics
traffic conditions
adaptive genetic algorithm
time-varying velocity
