Abstract :
The emergence of Industry 4.0 leads to the optimization of all the industrial operations management. Maintenance is a key operation function, since it contributes significantly to the business performance. However, the definition and conceptualization of Condition-based Predictive Maintenance (CPM) in the frame of Industry 4.0 is not clear yet. In the current paper, we: (i) explicitly define CPM in the frame of Industry 4.0 (alternatively referred as Proactive Maintenance); (ii) develop a unified approach for its implementation; and, (iii) provide a conceptual architecture for associated information systems.
Hermann Lödding; Ralph Riedel; Klaus-Dieter Thoben; Gregor von Cieminski; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-513 (Part I), pp.399-406, 2017, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing 〈10.1007/978-3-319-66923-6_47〉
https://hal.inria.fr/hal-01666184
Contributeur : Hal Ifip
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Soumis le : lundi 18 décembre 2017 - 10:39:23
Dernière modification le : lundi 18 décembre 2017 - 11:01:39
Alexandros Bousdekis, Gregoris Mentzas. Condition-Based Predictive Maintenance in the Frame of Industry 4.0. Hermann Lödding; Ralph Riedel; Klaus-Dieter Thoben; Gregor von Cieminski; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-513 (Part I), pp.399-406, 2017, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing 〈10.1007/978-3-319-66923-6_47〉. 〈hal-01666184〉
