Abstract
Maintenance has a critical impact on the efficiency of the industrialized producing industry. Unexpected tool failure within production processes can cause long downtimes and production breakdowns. Reactive and preventive maintenance are currently executed maintenance strategies. They lead to delayed or premature actions, which reduces overall efficiency. Predictive maintenance is a new promising approach. Real time data is used to predict and identify potential failures in advance. This strategy offers several benefits for serial producers and tool manufacturers. In the ongoing research project WerkPriMa, a data-based service system for predictive maintenance of tools is developed and implemented. The IT-architecture and new services are already achieved research results and will be presented in the following.
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Busch, M., de Lange, J., Kelzenberg, C., Schuh, G. (2019). Achieving Process Efficiency and Stability in Serial Production Through an Innovative Service System Based on Predictive Maintenance. In: Schmitt, R., Schuh, G. (eds) Advances in Production Research. WGP 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-03451-1_64
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DOI: https://doi.org/10.1007/978-3-030-03451-1_64
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