微型电脑应用2025，Vol.41Issue(4)：229-232,4.
基于模糊聚类的数字化供应链成熟度估计模型
Maturity Estimation Model of Digital Supply Chain Based on Fuzzy Clustering
刘彩红 1赵恩来 2王高峰2
作者信息
- 1. 中国建筑第八工程局有限公司,上海 200112
- 2. 北京国网信通埃森哲信息技术有限公司,北京 100052
- 折叠
摘要
Abstract
In order to improve the maturity of digital supply chain,the model design and analysis of digital power metering de-vice are carried out to measure the maturity of digital supply chain.The error generating mechanism of digital power metering device is analyzed,and SimuWorks control is loaded in the CAE big data analysis software to build a simulation environment.It is found that the over limit learning machine scheme has the strongest ability to control the system error of the power metering device.The scheme may change the previous error control scheme of setting post correction coefficient for specific digital power metering device,control the system error of digital power metering device to the greatest extent,and meet the requirements of digital supply chain maturity.关键词
模糊聚类/电能计量/系统误差/数字化/供应链/成熟度Key words
fuzzy clustering/power metering/system error/digitization/supply chain/maturity分类
信息技术与安全科学引用本文复制引用
刘彩红,赵恩来,王高峰..基于模糊聚类的数字化供应链成熟度估计模型[J].微型电脑应用,2025,41(4):229-232,4.
