TY - GEN
T1 - Standards for Smart Manufacturing: A review
AU - Lu, Yuqian
AU - Huang, Huiyue
AU - Liu, Chao
AU - Xu, Xun
N1 - Funding Information:
*Research supported by China Scholarship Council. Yuqian Lu is with the University of Auckland, Auckland, 1010 New Zealand (phone: +64 9 923 1584; fax: +64 9 373 7479; e-mail: [email protected]). Huiyue Huang is with the University of Auckland, Auckland, 1010 New Zealand (e-mail: [email protected]). Chao Liu is with the University of Auckland, Auckland, 1010 New Zealand (e-mail: [email protected]). Xun Xu is with the University of Auckland, Auckland, 1010 New Zealand (e-mail: [email protected]).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and collaboration. Standardization is a crucial enabler for achieving the required intelligence for smart manufacturing. Though a large number of efforts have been made to the development of manufacturing standards, there is still a significant research gap to be fulfilled. This paper reviews the landscape of existing standards in the context of smart manufacturing and offers guidance on the selection of the standards for different smart manufacturing applications.
AB - Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and collaboration. Standardization is a crucial enabler for achieving the required intelligence for smart manufacturing. Though a large number of efforts have been made to the development of manufacturing standards, there is still a significant research gap to be fulfilled. This paper reviews the landscape of existing standards in the context of smart manufacturing and offers guidance on the selection of the standards for different smart manufacturing applications.
UR - http://www.scopus.com/inward/record.url?scp=85072973205&partnerID=8YFLogxK
U2 - 10.1109/COASE.2019.8842989
DO - 10.1109/COASE.2019.8842989
M3 - Conference article published in proceeding or book
AN - SCOPUS:85072973205
T3 - IEEE International Conference on Automation Science and Engineering
SP - 73
EP - 78
BT - 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Automation Science and Engineering, CASE 2019
Y2 - 22 August 2019 through 26 August 2019
ER -