TY - GEN
T1 - The Transformation of Maintenance with the Arise of Industry 4.0
AU - Alves, João
AU - Morgado, Teresa
AU - Navas, Helena
AU - Lampreia, Suzana
AU - Abreu, António
AU - Dias, Ana
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The world is rapidly evolving with the rise of digital transformation, which has started the fourth industrial revolution, also known as Industry 4.0. This new revolution combined the innovation of several technologies, such as the Internet of Things, Big Data, AI-driven technologies, cyber-physical systems, and additive manufacturing, to reduce costs, improve productivity and efficiency, and reduce human error. However, this new concept changed the paradigm of maintenance itself, which embraced it, leading to the appearance of Maintenance 4.0. The foundation of this maintenance approach is Predictive Maintenance and, as a resource, the leading technology from Industry 4.0. This paper aims to clarify the concept of Maintenance 4.0 and present study cases about its application and the leading technologies attached to it. In conclusion, these new technologies promise transparency in maintenance routines. These techniques are still very recent, with a significant volume of initial capital and the need for highly educated employers, such as Data Scientists, which is still a distant reality from most companies/industries. Another essential factor to pay attention to is related to the progress of these technologies, which are still in their early development, and their practical application still needs to be improved. Moreover, human capital resources can represent a brake on progress since many workers would be inflexible with the changes in new technology and tools.
AB - The world is rapidly evolving with the rise of digital transformation, which has started the fourth industrial revolution, also known as Industry 4.0. This new revolution combined the innovation of several technologies, such as the Internet of Things, Big Data, AI-driven technologies, cyber-physical systems, and additive manufacturing, to reduce costs, improve productivity and efficiency, and reduce human error. However, this new concept changed the paradigm of maintenance itself, which embraced it, leading to the appearance of Maintenance 4.0. The foundation of this maintenance approach is Predictive Maintenance and, as a resource, the leading technology from Industry 4.0. This paper aims to clarify the concept of Maintenance 4.0 and present study cases about its application and the leading technologies attached to it. In conclusion, these new technologies promise transparency in maintenance routines. These techniques are still very recent, with a significant volume of initial capital and the need for highly educated employers, such as Data Scientists, which is still a distant reality from most companies/industries. Another essential factor to pay attention to is related to the progress of these technologies, which are still in their early development, and their practical application still needs to be improved. Moreover, human capital resources can represent a brake on progress since many workers would be inflexible with the changes in new technology and tools.
KW - Industry 4.0
KW - Industry 5.0
KW - Maintenance 4.0
KW - Society 5.0
UR - http://www.scopus.com/inward/record.url?scp=85200455876&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-61575-7_17
DO - 10.1007/978-3-031-61575-7_17
M3 - Conference contribution
AN - SCOPUS:85200455876
SN - 9783031615740
T3 - Lecture Notes in Mechanical Engineering
SP - 180
EP - 190
BT - Innovations in Mechatronics Engineering III
A2 - Machado, Jose
A2 - Soares, Filomena
A2 - Trojanowska, Justyna
A2 - Yildirim, Sahin
A2 - Vojtěšek, Jiří
A2 - Rea, Pierluigi
A2 - Gramescu, Bogdan
A2 - Hrybiuk, Olena O.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Innovation in Engineering, ICIE 2024
Y2 - 26 June 2024 through 28 June 2024
ER -