TY - JOUR
T1 - Knowledge-Based Automation for Smart Manufacturing Systems
AU - Vogel-Heuser, Birgit
AU - Ju, Feng
AU - Fantuzzi, Cesare
AU - Lu, Yan
AU - Hess, Dieter
PY - 2021/1
Y1 - 2021/1
N2 - The special issue of IEEE Transactions On Automation Science and Engineering states that smart manufacturing is targeted as the next generation of manufacturing by many national and international strategic development. The increasingly rich production data, the integration and extensive application of information technology, and the intelligent data processing and system modeling methods have collectively enabled smart manufacturing. Building upon them, manufacturing system modeling, knowledge acquisition, design, and real-time control are the key components of such manufacturing. The special issue focuses on how the promise of smart manufacturing could be fulfilled by providing knowledge either from models before operations and/or from data during operations of manufacturing systems. The goals of this Special Issue are to present the state-of-the-art research in science, engineering, and methodologies for knowledge-based automated manufacturing systems and provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
AB - The special issue of IEEE Transactions On Automation Science and Engineering states that smart manufacturing is targeted as the next generation of manufacturing by many national and international strategic development. The increasingly rich production data, the integration and extensive application of information technology, and the intelligent data processing and system modeling methods have collectively enabled smart manufacturing. Building upon them, manufacturing system modeling, knowledge acquisition, design, and real-time control are the key components of such manufacturing. The special issue focuses on how the promise of smart manufacturing could be fulfilled by providing knowledge either from models before operations and/or from data during operations of manufacturing systems. The goals of this Special Issue are to present the state-of-the-art research in science, engineering, and methodologies for knowledge-based automated manufacturing systems and provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
UR - http://www.scopus.com/inward/record.url?scp=85099391259&partnerID=8YFLogxK
U2 - 10.1109/TASE.2020.3044620
DO - 10.1109/TASE.2020.3044620
M3 - Review article
AN - SCOPUS:85099391259
SN - 1545-5955
VL - 18
SP - 2
EP - 4
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
IS - 1
M1 - 9316429
ER -