电力物资库存定额季节性调整智能优化研究

Research on Seasonal Adjustment Intelligent Optimization of Inventory of Electric Power Materials

摘要: 为解决经典库存模型的库存定额计算不能满足电力物资需求的间断性和波动性的难点，实现智能调整库存定额，本文参考季节周期性因素，优化MRP动态库存调整模型，借助大数据分析技术建立库存物资需求分类预测机制，同时建立消耗自动补给和计划定期补给的运行机制以及参考季节性周期的动态智能调整库存定额运行机制，实现库存定额调整业务全程决策智能化管理。

Abstract: In order to solve the difficulty of the inventory quota calculation of the classic inventory model, which cannot meet the discontinuity and volatility of power material demand, and realize the in-telligent adjustment of inventory quota, this paper refers to the seasonal cyclic factor, optimizes the MRP dynamic inventory adjustment model, and builds a forecasting mechanism for inventory materials demand by means of big data analysis technology. At the same time, the operation mechanism of automatic replenishment and planned replenishment is established, and the dy-namic intelligent adjustment of the inventory quota operation mechanism with reference to the seasonal period is established, and the intelligent decision-making of the inventory quota adjust-ment business is realized.