TY - GEN
T1 - Intelligent Manufacturing with Digital Twin
AU - Moller, Dietmar P.F.
AU - Vakilzadian, Hamid
AU - Hou, Weyan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/14
Y1 - 2021/5/14
N2 - The age of digital transformation will have a significant impact on industry and society. Designing, developing, and manufacturing products is more based on the influence of the fourth technological wave with its possibilities through digital transformation. The digital twin is commonly known as a key enabler for digital transformation at all scales - for large and small businesses, for organizations and individuals, globally and locally. The new challenges through digital transformation are seen as an opportunity to achieve higher levels of solutions to handle the different innovative technological methods with regard to quality in production in the manufacturing industry. Due to the complexity of intelligent manufacturing, an advanced and complex tool is required to (i) investigate, (ii) monitor, and (iii) simulate the intelligent manufacturing processes in real-time. The tool to achieve this goal is the digital twin, which works in parallel to sense, monitor, and control manufacturing devices and cyber-physical production systems across the manufacturing plant network infrastructure. The digital twin performs real-time optimization and evaluates the metrics of the execution of the intelligent manufacturing system. This paper introduces intelligent manufacturing and the digital twin as key enablers for the digital transformation in intelligent manufacturing.
AB - The age of digital transformation will have a significant impact on industry and society. Designing, developing, and manufacturing products is more based on the influence of the fourth technological wave with its possibilities through digital transformation. The digital twin is commonly known as a key enabler for digital transformation at all scales - for large and small businesses, for organizations and individuals, globally and locally. The new challenges through digital transformation are seen as an opportunity to achieve higher levels of solutions to handle the different innovative technological methods with regard to quality in production in the manufacturing industry. Due to the complexity of intelligent manufacturing, an advanced and complex tool is required to (i) investigate, (ii) monitor, and (iii) simulate the intelligent manufacturing processes in real-time. The tool to achieve this goal is the digital twin, which works in parallel to sense, monitor, and control manufacturing devices and cyber-physical production systems across the manufacturing plant network infrastructure. The digital twin performs real-time optimization and evaluates the metrics of the execution of the intelligent manufacturing system. This paper introduces intelligent manufacturing and the digital twin as key enablers for the digital transformation in intelligent manufacturing.
KW - Digital twins
KW - Intelligent manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85111859000&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111859000&partnerID=8YFLogxK
U2 - 10.1109/EIT51626.2021.9491874
DO - 10.1109/EIT51626.2021.9491874
M3 - Conference contribution
AN - SCOPUS:85111859000
T3 - IEEE International Conference on Electro Information Technology
SP - 413
EP - 418
BT - 2021 IEEE International Conference on Electro Information Technology, EIT 2021
PB - IEEE Computer Society
T2 - 2021 IEEE International Conference on Electro Information Technology, EIT 2021
Y2 - 14 May 2021 through 15 May 2021
ER -