@article{ReinhardtMuennichPrelletal.2021, author = {Reinhardt, Heiner and M{\"u}nnich, Marc and Prell, Bastian and Arnold, Roman and Krippner, Fabian and Weber, Marek and Seifert, Frank and Putz, Matthias}, title = {Retrieving properties of manufacturing systems from traceability data for performance evaluation and material flow simulation}, series = {Procedia CIRP}, volume = {104}, journal = {Procedia CIRP}, publisher = {Elsevier}, issn = {2212-8271}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15600}, pages = {20 -- 25}, year = {2021}, abstract = {The 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.}, language = {en} }