摘要
当前电力行业的物资需求量大,为了确保电力企业的物资供应,建立物资需求预测体系非常重要的环节,物资需求是否准确将直接关系到企业的运营成本以及电力行业的工程进度。物资需求预测体系可以从物资上报前进行预测,于物资上报期间进行分析以及上报后挖掘等方面,在大数据的环境下进行建立。本文采用大数据的方法,针对电力企业的协议库存物资需求预测体系进行简要分析。
At present,the demand for materials in the power industry is large.In order to ensure the supply of materials for power companies,it is very important to establish a material demand forecasting system.Whether the demand for materials is accurate will directly affect the operating costs of enterprises and the progress of the power industry.The material demand forecasting system can be forecasted before the material is reported,analyzed during the material reporting period,and excavated after reporting,and established in the context of big data.This paper adopts the big data method to analyze the protocol inventory demand forecasting system of power companies.
出处
《数码设计》
2018年第23期8-9,共2页
Peak Data Science
关键词
大数据
协议
物资需求
预测
体系
big data
agreement
material demand
forecast
system
