摘要
港口物流的快速发展为各大企业节省了大量的物流成本。在这样的背景下,越来越多的企业和机构开始关注物流成本的降低问题。其中,最受关注的是运输成本的降低,这是因为运输是物流的关键之一,通过降低运输成本可以显著降低物流成本。本文在供应管理库存的思想基础上,分析船舶运输的模型,优化运输和库存效益之间的矛盾关系,最后通过自适应遗传算法优化船舶配送路线和客户库存补充计划。
The rapid development of port logistics saves a lot of logistics cost. In this context,more and more enterprises and institutions began to pay attention to the reduction of logistics costs.Among them,the most concern is the reduction of transport costs,this is because the transportation is one of the key logistics,by reducing the cost of transportation can significantly reduce the cost of logistics. In the supplies inventory management based on the idea, this paper fully analyzes the transport ship model, optimized the contradictory relationship between transportation and inventory benefits,finally by means of adaptive genetic algorithm to optimize the shipping transportation route and customer inventory supplement plan.
出处
《舰船科学技术》
北大核心
2016年第9X期100-102,共3页
Ship Science and Technology
关键词
协同进化
遗传算法
港口物流
降低成本
co evolution
rgenetic algorithm
port logistics
cost reduction
