TY - JOUR
T1 - Using industry 4.0 to face the challenges of predictive maintenance
T2 - A key performance indicators development in a cyber physical system
AU - Pilar Lambán, María
AU - Morella, Paula
AU - Royo, Jesús
AU - Carlos Sánchez, Juan
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9
Y1 - 2022/9
N2 - The fourth industrial revolution is transforming the industrial environment. This work focuses on the application of 4.0 technologies to solve the problems that predictive maintenance currently faces, e.g., performing maintenance only when necessary or processing data in real time to provide relevant information. Particularly, the implementation of a CPS is carried out in a machine tool capable of acquiring data in real time. At the same time, a series of maintenance indicators have been defined, developed, and implemented that provide the user with relevant information on the status of the machine to enhance decision-making.
AB - The fourth industrial revolution is transforming the industrial environment. This work focuses on the application of 4.0 technologies to solve the problems that predictive maintenance currently faces, e.g., performing maintenance only when necessary or processing data in real time to provide relevant information. Particularly, the implementation of a CPS is carried out in a machine tool capable of acquiring data in real time. At the same time, a series of maintenance indicators have been defined, developed, and implemented that provide the user with relevant information on the status of the machine to enhance decision-making.
KW - Cyber physical system
KW - Industry 4.0
KW - Key performance indicators
KW - Predictive maintenance
UR - http://www.scopus.com/inward/record.url?scp=85133898889&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2022.108400
DO - 10.1016/j.cie.2022.108400
M3 - Article
AN - SCOPUS:85133898889
SN - 0360-8352
VL - 171
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
M1 - 108400
ER -
