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已有的研究表明,在物流管理中权衡库存与运输成本之间的关系,实现两者的集成决策,可改进系统的运作绩效。在给定的仓库布局条件下,针对应急物流的配送特点,构建了单周期物资的运输与库存集成决策的随机规划模型。考虑到模型求解的复杂性,首先通过对模型的分析,获得了最优解的性质和上界,然后设计了基于BP神经网络和遗传算法的混合智能算法。在算例分析部分,揭示了服务水平、运输、和库存成本在应急物流中之间的复杂关系,说明合理权衡三者之间的关系,可以提升应急物流的管理水平。
Existing research shows that in the logistics management trade-off between the relationship between inventory and transportation costs, to achieve the integration of the two decisions can improve system performance. Under the condition of warehouse layout, a stochastic programming model of transport and inventory integrated decision-making for single-cycle materials is constructed according to the characteristics of emergency logistics. Considering the complexity of the model solution, firstly, by analyzing the model, we get the nature and upper bound of the optimal solution, and then design a hybrid intelligent algorithm based on BP neural network and genetic algorithm. In the part of the example analysis, the complex relationship between service level, transportation and inventory cost in emergency logistics is revealed, which shows that the relationship between the three can be weighed rationally and the management level of emergency logistics can be improved.