Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Research on Global Structure for Digital Quality Testing Based on Manufacturing Factory

Authors
Mengqing Tanli, Yan Jiang, Xiang Wang, Yulin Wang, Rushu Peng
Corresponding Author
Mengqing Tanli
Available Online April 2017.
DOI
10.2991/eame-17.2017.42How to use a DOI?
Keywords
global structure; digital quality testing; manufacturing factory; control structure
Abstract

This paper discusses the global structure of the digital quality testing, and briefly investigates the arrangement of testing equipment and hardware, the composition of software, the responsible branch and personnel, the control structure of quality data and information, and the arrangement of measuring method in digital quality testing. This global structure can give a unified model for research and application of digital quality testing.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/eame-17.2017.42
ISSN
2352-5401
DOI
10.2991/eame-17.2017.42How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mengqing Tanli
AU  - Yan Jiang
AU  - Xiang Wang
AU  - Yulin Wang
AU  - Rushu Peng
PY  - 2017/04
DA  - 2017/04
TI  - Research on Global Structure for Digital Quality Testing Based on Manufacturing Factory
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 173
EP  - 176
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.42
DO  - 10.2991/eame-17.2017.42
ID  - Tanli2017/04
ER  -