摘要
针对传统生鲜农产品物流配送模式存在的不足,本文综合考虑物联网技术优势和生鲜农产品的特点,引入模糊时间窗函数、客户满意度函数、农产品损耗函数等主要约束条件,构建以客户满意度最大、配送费用最小为目标的物联网环境下多目标路径优化模型,提出物联网环境下生鲜农产品的配送模式;基于Matlab软件和改进后的遗传算法对模型进行仿真,通过多次遗传算法叠加得到模型最优解,以期为生鲜农产品物流配送路径的决策选择提供参考。
For the shortcomings of logistics distribution mode of traditional fresh agricultural produce,after considering the advantages of Internet of Things and the characteristics of fresh agricultural produce,this paper sets up multi-objective route optimization model that takes he highest customer satisfaction and the lowest delivery cost as goal under Internet of Things with fuzzy time window function,customer satisfaction function,agricultural produce loss function and other major constraint conditions introduced,and puts forward a new distribution mode under the Internet of Things; the model is simulated on the basis of Matlab software and improved genetic algorithm,and the optimal solution of the model is obtained by the superposition of several genetic algorithms,to provide reference for people to choose logistics distribution route of fresh agricultural produce.
作者
李昌兵
汪尔晶
袁嘉彬
LI Chang-bing WANG Er-jing YUAN Jia-bin(School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, Chin)
出处
《商业研究》
CSSCI
北大核心
2017年第4期1-9,共9页
Commercial Research
基金
国家自然科学基金资助项目
项目编号:60905066
重庆教委科技项目
项目编号:KJ070509
电子商务与现代物流重庆高校市级重点实验室项目
项目编号:ECML201403
重庆邮电大学自然科学基金资助项目
项目编号:A2009-03
关键词
物联网
生鲜农产品
路径优化
改进后的遗传算法
Internet of Things
fresh agricultural produce
optimization of route
improved genetic algorithm
