Although it provides a feasible inbound logistics solution for steady production and low inventory management, the Milk-run mode inevitably leads to a high transportation costs due to the features of small-batch and high-frequency delivery. In order to break through the defections of the existing inbound logistics mode, an integrated inbound logistics (IIL) mode with low-carbon and high efficiency is established. An intelligent scheduling method combines Milk-run collection with drop and pull delivery together. Moreover, the LNG vehicles are simultaneously used in the whole process. With AJ company’s auto-parts inbound logistics as a case, the IIL mode is formulated with a mixed integer mathematical model. The genetic algorithm coded with Matlab is used to find the optimal solution. The results show that when compared with the original Milk-run mode, the IIL mode brings massive reductions in driving mileage, wait time and waste gas emission. It can make significant benefits in both economic and social sense. Therefore, it is entirely reasonable for management of industries to believe that the IIL mode will be a feasible and promising alternative for inbound logistics.

尽管为批量生产和稳定的库存提供了可行的入站物流解决方案，但由于小批量和高频率交付的特性，牛奶运行模式不可避免地导致高运输成本。为了克服现有入库物流模式的缺陷，建立了低碳高效的综合入库物流模式。一种智能调度方法将Milk-run收集与拖放交付结合在一起。此外，LNG车辆在整个过程中同时使用。以AJ公司的汽车零件入库物流为例，IIL模式由混合整数数学模型表示。用Matlab编码的遗传算法可找到最佳解。结果表明，与原始的Milk-run模式相比，IIL模式大大减少了行驶里程，等待时间和废气排放。它可以在经济和社会意义上产生重大利益。因此，让行业管理层相信IIL模式将是入境物流的一种可行且有希望的替代方案，这是完全合理的。