Open AccessCollection and Storage of Assembly Quality Data of Complex Electromechanical Products
Author(s) -
Yanan Liang,
Q. D. Zhang,
Nannan Zhao,
Hui Fen Duan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/565/1/012002
Subject(s) - data quality , computer science , product lifecycle , big data , data collection , quality (philosophy) , process (computing) , quality management , context (archaeology) , data management , systems engineering , process management , new product development , database , data mining , engineering , management system , operations management , business , metric (unit) , philosophy , statistics , mathematics , epistemology , marketing , operating system , paleontology , biology
In the context of made in China 2025 and intelligent manufacturing, “data-based decision” is one of the important concepts for quality management promotion, and data integrity and availability is an important aspect of data collection and data management. Combined with the characteristics of complex electromechanical products with complex structure, multiple development links and high quality requirements, this paper discusses the management category of quality big data from the perspective of manufacturing process operation management and product life cycle, studies the acquisition strategy by manual and automatic methods, acquisition process, the quality data modeling and expression specifications based on unified coding specifications and business flow and data flow framework and provides references for enterprises to carry out quality big data construction.