Reinhardt, HeinerHeinerReinhardtMünnich, MarcMarcMünnichPrell, BastianBastianPrellArnold, RomanRomanArnoldKrippner, FabianFabianKrippnerWeber, MarekMarekWeberSeifert, FrankFrankSeifertPutz, MatthiasMatthiasPutz2022-03-062022-03-062021https://publica.fraunhofer.de/handle/publica/27143510.1016/j.procir.2021.11.002The operation of manufacturing systems is increasingly accompanied by data-driven continuous improvement processes and product traceability is required. Commonly, radio-frequency identification (RFID) technology is applied to track the flow of a uniquely-identifiable workpiece along various stations or waypoints within a factory. Based on an automotive use case, this paper describes how to analyze the resulting traceability data in order to identify several properties of a manufacturing system. The acquired knowledge can support performance evaluation and facilitate model building for material flow simulation as a foundation for digital twins and cyber-physical production systems.enknowledge managementalgorithmanalysiscondition monitoringcomplexitymanufacturing systemMan machine systempattern recognition620670journal article