国有企业年度需求预测模式的研究与创新实践

Research and Innovative Practice of Annual Demand Forecasting Model of State-Owned Enterprise

本文旨在针对电力物资协议库存采购需求预测的实际问题,借助现代化的大数据分析方法和人工智能算法,创新物资采购计划管理模式,从收集初始数据与数据清洗、特征分析、预测建模、需求预测到采购供应计划形成,完成了年度需求预测模式的整体设计与研究工作,实现物资计划管理工作智能高效,提升物资管理工作内外高效协同与共享。

Aiming at the practical problem of demand forecasting of power material agreement inventory procurement, this paper innovated the material procurement plan management mode with the help of modern big data analysis method and artificial intelligence algorithm, from the collection of initial data and data cleaning, feature analysis, prediction modeling, demand forecasting to the formation of procurement supply plan, completed the overall design and research of the annual demand forecasting model, realized the intelligent and efficient material plan management, and improved the internal and external efficient collaboration and sharing of material management.