摘要
分析了带有退货回收过程的冷链物流配送路径优化问题,考虑到在服务客户时已经回收的货物存在二次装卸的可能,根据运输配送过程中存在的固定成本、折旧成本、装卸成本、油耗成本和制冷成本等因素建立配送路径优化模型,并结合改进的免疫蚁群混合算法对模型求解,最后通过实验算例分析得出求得的解是满意的,从而为冷链运输配送企业的决策运营提供参考。
In this paper, we analyzed the route optimization problem in cold chain logistics distribution process with product return and recycling considered, then in view of the probability of the secondary loading/unloading for the recycled products during customer service, we built the distribution route optimization model for the fixed cost, discount cost, loading/unloading cost, fuel cost and refrigeration cost, etc., in the distribution process, then solved it using the modified immunity ant colony algorithm and at the end, through a numerical example, proved the ability of the model to yield satisfactory solutions.
出处
《物流技术》
2017年第7期77-80,共4页
Logistics Technology
基金
北京市自然科学基金项目(4132024)
北京市社会科学基金重点项目(15ZHA004)
关键词
冷链物流
逆向回收
免疫蚁群算法
路径优化
cold chain logistics
reverse recycling
immunity.ant colony algorithm
path optimization
