The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

T Zheng, M Ardolino, A Bacchetti… - International Journal of …, 2021 - Taylor & Francis
Industry 4.0 (I4. 0) encompasses a plethora of digital technologies effecting on
manufacturing enterprises. Most research on this topic examines the effects in the smart …

Digital Twin for maintenance: A literature review

I Errandonea, S Beltrán, S Arrizabalaga - Computers in Industry, 2020 - Elsevier
Abstract In recent years, Digital Twins (DT) have been implemented in different industrial
sectors, in several applications areas such as design, production, manufacturing, and …

Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook

RS Peres, X Jia, J Lee, K Sun, AW Colombo… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges

J Dalzochio, R Kunst, E Pignaton, A Binotto… - Computers in …, 2020 - Elsevier
In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …

Artificial intelligence and internet of things in small and medium-sized enterprises: A survey

EB Hansen, S Bøgh - Journal of Manufacturing Systems, 2021 - Elsevier
Internet of things (IoT) and artificial intelligence (AI) are popular topics of Industry 4.0. Many
publications regarding these topics have been published, but they are primarily focused on …

Smart production planning and control in the Industry 4.0 context: A systematic literature review

A Bueno, M Godinho Filho, AG Frank - Computers & industrial engineering, 2020 - Elsevier
Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …

A review of data-driven decision-making methods for industry 4.0 maintenance applications

A Bousdekis, K Lepenioti, D Apostolou, G Mentzas - Electronics, 2021 - mdpi.com
Decision-making for manufacturing and maintenance operations is benefiting from the
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …

[HTML][HTML] Cognitive digital twin: An approach to improve the maintenance management

RD D'Amico, JA Erkoyuncu, S Addepalli… - CIRP Journal of …, 2022 - Elsevier
Digital twin (DT) technology allows the user to monitor the asset, specifically over the
operation and service phase of the life cycle, which is the longest-lasting phase for complex …

Maintenance 4.0 technologies–new opportunities for sustainability driven maintenance

M Jasiulewicz-Kaczmarek, S Legutko… - Management and …, 2020 - yadda.icm.edu.pl
Manufacturing companies and equipment manufacturers face two major changes affecting
their business: digitalization and the sustainability. From the point of view of digitalization in …

A predictive maintenance model for optimizing production schedule using deep neural networks

T Zonta, CA Da Costa, FA Zeiser… - Journal of Manufacturing …, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) provides connectivity, data volume, new devices, miniaturization,
inventory reduction, personalization, and controlled production. In this new era …