考虑新鲜度约束的生鲜冷链配送路径优化研究  

Study on Optimization of Distribution Path of Fresh Products Cold Chain Logistics Considering Freshness

作　　者：曹文彬 王婷 CAO Wenbin;WANG Ting(Business School of Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学商学院,江苏无锡214122

出　　处：《物流科技》2021年第7期130-136,共7页Logistics Sci-Tech

基　　金：国家社会科学基金项目(16BTJ006)。

摘　　要：随着生鲜市场交易规模日益增加,生鲜冷链配送中存在着“损耗高、保鲜率低、冷链流通率低、成本高”等一系列现实问题。因此可构建车辆使用成本、配送运输成本、配送制冷成本、碳排放成本、生鲜产品新鲜度和时间窗惩罚成本的生鲜冷链配送车辆路径优化模型,提出变邻域搜索改进遗传算法,并通过MATLAB软件对生鲜配送路径进行仿真得出配送总成本最优解,结果表明:变邻域搜索改进遗传算法(VNS-GA)求解的结果更加有效地避免了遗传算法出现局部最优解的情况,同时能降低总配送成本。With the increasing transaction scale of fresh market,there are a series of practical problems in fresh cold chain distribution,such as high loss,low preservation rate,low circulation rate of cold chain and high cost.Therefore build vehicles using cost,distribution cost of transportation,distribution,refrigeration,carbon cost,fresh product freshness and time windows penalty cost of fresh cold chain distribution vehicle routing optimization model,provide VNS-GA and through the distribution path fresh simulation software MATLAB distribution total cost optimal solutions,the results indicate that the results of the VNS-GA is more effective to avoid the genetic algorithm local optimal solution,and reduce total distribution costs.

关 键 词：生鲜产品新鲜度 模糊时间窗 遗传算法 变邻域搜索 

分 类 号：F252.14[经济管理—国民经济]