计算机工程与应用2019，Vol.55Issue(2)：198-205,8.DOI:10.3778/j.issn.1002-8331.1809-0042
新零售下生鲜产品闭环物流网络模糊规划
Fuzzy Programming of Closed-Loop Logistics Network for Fresh Products under New Retail Model
摘要
Abstract
In view of the rapid development of China’s new retail model and fuzzy uncertainty of consumers’demand and return for fresh products, considering the decision of the minimum total logistics cost, the best facility location and the optimal vehicle route, a fuzzy programming model of closed-loop logistics network is established for fresh products under new retail model. In order to solve this model, the quantities of consumers’demand and return are regarded as trian-gular fuzzy parameters and the fuzzy constraints are transformed into crisp equivalent by applying the fuzzy chance con-strained programming. Through the case of the fresh e-commerce of Shanghai, the feasibility and effectiveness of the pro-posed model are verified by adopting the sensitivity analysis of the confidence level and the calculation of genetic algo-rithm and particle swarm optimization algorithm, which provides a reference for relevant decision makers.关键词
新零售/生鲜/闭环物流网络/模糊机会约束规划/遗传算法/粒子群算法Key words
new retail/fresh products/closed-loop logistics network/fuzzy chance constrained programming/genetic algorithm/particle swarm optimization algorithm分类
数理科学引用本文复制引用
杨晓华,郭健全..新零售下生鲜产品闭环物流网络模糊规划[J].计算机工程与应用,2019,55(2):198-205,8.基金项目
山西省回国留学人员科研资助项目(No.2016-044) （No.2016-044）
国家自然科学基金(No.61503271,No.61603267). （No.61503271,No.61603267）
