摘要
分析了冷链物流车辆路径配送过程中的各项成本并进行修正;基于客户服务时间要求与客户重要性之间的均衡,构建了混合时间窗模型;基于客户需求波动降低与指派阶段成本增加之间的均衡,引入安全系数并设立约束条件,建立以总成本最小化为目标的数学模型。以具体数值为例,利用Matlab软件为编码平台运用自适应遗传算法对数学模型进行求解分析。
The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers＇service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctaation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2016年第8期1824-1832,1840,共10页
Journal of System Simulation
基金
北京市社会科学基金(15JGB071)
北京物资学院高级别科研项目培育基金(GJB20161004)
北京市优秀人才培养资助青年骨干个人项目(2014000020124G093)
关键词
冷链物流
车辆路径问题
随机需求
遗传算法
cold-chain logistics
vehicle routing problem
stochastic demand
genetic algorithm
