A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection

Abstract : The increasing use of sensors in manufacturing enterprises has led to the need for real-time data-driven information systems capable of processing huge amounts of data in order to provide meaningful insights about the actual and the predicted business performance. We propose a framework for real-time, event-driven proactive supplier selection driven by Condition Based Maintenance (CBM). The proposed framework was tested in a real in automotive lighting equipment scenario.
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Communication dans un congrès
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.416-424, 2017, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing 〈10.1007/978-3-319-66923-6_49〉
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Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas. A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection. 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.416-424, 2017, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing 〈10.1007/978-3-319-66923-6_49〉. 〈hal-01666189〉

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