低碳环境下冷链物流企业库存-配送优化

目的 优化冷链物流企业库存-配送的路径,以降低企业冷链物流的成本.方法 考虑冷链物流企业库存和配送环节产生成本的因素,并结合我国关于碳减排的碳交易政策,将企业的碳排放代价同其他代价综合考虑,建立以总代价最低为目标的成本模型,设计并改进麻雀搜索算法进行计算.结果 通过使用MatlabR2018b进行仿真实验,将采用麻雀搜索算法计算的仓储-配送作业总代价与其他经典算法进行比较,在1个仓储配送任务内,代价可减少2％～4％,验证了麻雀搜索算法解决文中代价模型的有效性.结论 该研究为冷链物流企业库存-配送优化问题提供了一种新型的解决方法,具有较强的操作性和实际意义.

Inventory-Distribution Optimization of Cold Chain Logistics Enterprises in Low-Carbon Environment

Considering the cost problem of cold chain logistics enterprises in the inventory-distribution operation, this paper aims to save the cost in the inventory-distribution link for enterprises. Taking into account the cost of inventory and distribution of cold chain logistics companies, combining my country''s carbon trading policy on carbon emission reduction, and comprerhensively considering the company''s carbon emissions costs and other costs, a cost model with the lowest total cost as the goal is established and the sparrow search algorithm for calculation is designed and improved. Through the simulation experiment using MatlabR2018b, the total cost of the warehousing-distribution operation calculated by the mahjong search algorithm is compared with other classic algorithms. In a warehousing and distribution task, the cost can be reduced by 2%~4%, which verifies the validity of the sparrow search algorithm solution in solving the cost model in this paper. This research provides a new solution for the inventory-distribution optimization problem of cold chain logistics enterprises, which has strong operability and practical significance.