郑州大学学报（工学版）2017，Vol.38Issue(6)：59-63,5.DOI:10.13705/j.issn.1671-6833.2017.06.008
考虑顾客时间紧迫度的生鲜电商配送路径优化问题
Fresh Agricultural Product E-commerce Distribution Routing Problem Considering Time Demand of Customer
摘要
Abstract
This paper aims to explore fresh agricultural product E-commerce routing problem under uncertain environment.Considering the characteristic of the bounded rational of customer decision, fresh agricultural product E-commerce routing optimization model was established based on Cumulative Prospect Theory(CPT). According to the characteristics of fresh agricultural E-commerce supplier for fresh features.The model took the minimum cargo damage costs,transportation costs and the penalty costs as objective,the agents point de-mand,goods loading and times window of logistic services about customer requirements as constraints.An im-proved Particle Swarm Optimization algorithm was used to solve there parts of model respectively.reference ex-amples.Simulation and test results showed that,the model based on CPT met customer requirements on time window more accurately and improved customer satisfaction.This study could provide theoretical support to the fresh E-commerce suppliers to optimize the distribution path.关键词
累积前景理论/车辆路径问题/生鲜电商/时间窗/改进粒子群算法Key words
CPT/vehicle routing problem/fresh E-commerce/time windows/an improved particle swarm optimization分类
信息技术与安全科学引用本文复制引用
崔岩,张子祥,时新,王晓亮,王振锋..考虑顾客时间紧迫度的生鲜电商配送路径优化问题[J].郑州大学学报（工学版）,2017,38(6):59-63,5.基金项目
国家自然科学基金资助项目(71001111) （71001111）
河南省科技厅科技攻关国际合作项目(30600802) （30600802）
2016年度河南农业大学科技创新基金资助项目(KJCX2016A04) （KJCX2016A04）
