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Quality oriented Productive Maintenance within the life cycle of a manufacturing system

In this paper, a concept for generating, implementing and operating a data-based system for quality oriented productive maintenance (QPM) will be presented. QPM directly connects tool and machine conditions with relevant product quality parameter via cause-and-effect coherences within the whole manufacturing process chain. To identify maintenance-critical conditions of machines and tools, existing data from a variety of data collecting systems (e.g. operating and machine data logging) can be used. This data can be complemented via additional available sensor and measurement technique. Methods of Data Mining are used to analyse the collected data and to discover quality-relevant cause-and-effect coherences. Based on the analysis results, a set of rules for the quality oriented implementation of maintenance activities can be derived.