Karner, M., Glawar, R., Sihn, W., & Matyas, K. (2019). An industry-oriented approach for machine condition-based production scheduling. In Proceedings of the 52nd CIRP Conference on Manufactoring Systems (CMS) (pp. 938–943). Elsevier BV. https://doi.org/10.1016/j.procir.2019.03.231
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
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Erschienen in:
Proceedings of the 52nd CIRP Conference on Manufactoring Systems (CMS)
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Band:
81
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Datum (veröffentlicht):
2019
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Veranstaltungsname:
52nd CIRP Conference on Manufacturing Systems
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Veranstaltungszeitraum:
12-Jun-2019 - 14-Jun-2019
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Veranstaltungsort:
Ljubljana, Slovenien
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Umfang:
6
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Verlag:
Elsevier BV
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Peer Reviewed:
Ja
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Keywords:
General Materials Science; condition monitoring; production planning and scheduling; condition-based scheduling
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Abstract:
Condition Monitoring (CM) and production planning and scheduling (PPS) are well-known and broadly discussed topics. Considering a machine's condition within short-term PPS may lead to a more realistic model of a production system and is therefore supporting production planners at their complex tasks of scheduling and sequencing. Despite the foreseeable benefits, integration of CM and PPS has been largely neglected in the literature of production management. This paper provides a technique for measuring machine conditions appropriate for an integration within PPS which is applied at an industrial use-case. Hence, the paper contributes to the development of condition-based PPS.
