Master data management for manufacturing big data: a method of evaluation for data network

被引：5

作者：

Zhao, Chun ^{[1
,2
]}

Ren, Lei ^{[2
]}

Zhang, Ziqiao ^{[2
]}

Meng, Zihao ^{[2
]}

机构：

[1] BISTU, Sch Comp, North 4th Ring Mid St 35, Beijing, Peoples R China

[2] Beihang Univ, Sch Automat Sci & Elect Engn, Xueyuan St 37, Beijing, Peoples R China

来源：

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS | 2020年 / 23卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Cloud manufacturing; Master data; Set pair analysis; Modeling and simulation; USER CORRELATIONS; DISCOVERY; ARCHITECTURE; MODEL;

D O I：

10.1007/s11280-019-00707-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method.

引用

页码：1407 / 1421

页数：15