动力煤供应链多级库存控制模型与算法研究

he inventory level control in steaming coal supply chain is an important guarantee for reducing the total inventory costs and running sustainably and stably. Firstly, this paper introduced multi-echelon inventory control theory, and established conceptual and mathematical model, which was taking total inventory costs minimum as goal. Then designed genetic algorithm to solve optimal reorder points, order batches and allocating batches for regional distribution centers and storage and distribution bases. Finally, it proved feasibility and validity of the model and algorithm. Based on the analysis results, decision-making support is offered for the inventory control of steaming coal supply chain in China.