摘要
基于BP神经网络算法,通过构建表计需求预测分析、智能计划排产、资产帐物诊断一体化分析模型,提供一种计量资产管理辅助手段,为表计采购资金预算、需求计划制定、资产帐物稽查提供决策支撑,助力公司精准投资、科学配送、精益管理工作目标的实现。
Based on BP neural network algorithm,by establishing an integrated analysis model of demand forecasting and analysis of meter,intelligence planning and production scheduling,and asset accounting diagnose,an assistance method of measuring asset management is put forward to provide decision support for tabulating purchase fund budget,formulating demand plan and auditing assets and accounts.It helps the company to achieve the objectives of precision investment,scientific distribution and lean management.
作者
韩桂楠
孙思思
李兵
李鹏
马圣云
贾永良
武超飞
孙文磊
HAN Guinan;SUN Sisi;LI Bing;LI Peng;MA Shengyun;JIA Yongliang;WU Chaofei;SUN Wenlei(State Grid Hebei Electric Power Co.,Ltd.Electric Power Reasearch Institute,Shijiazhuang 050021,China;State Grid Hebei Electric Power Co.,Ltd.Information Telecomunication Branch,Shijiazhuang 050021,China;State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050021,China;State Grid Hebei Electric Vehicle Service Co.,Ltd.,Shujiazhuang 050021,China)
出处
《黑龙江电力》
CAS
2019年第5期460-464,共5页
Heilongjiang Electric Power
关键词
大数据
计量
数据质量
精益管理
big data
measurement
data quality
lean management