| Autor: |
Reinhardt, Heiner, Mahdaviasl, Mahtab, Prell, Bastian, Mauersberger, Anton, Klimant, Philipp, Reiff-Stephan, Jörg, Ihlenfeldt, Steffen |
| Zdroj: |
Procedia CIRP; 2024, Vol. 122, p73-78, 6p |
| Abstrakt: |
Implementing processes for traceability is required in various industries to assure product quality during manufacturing, provide evidence on required processing conditions or facilitate product recalls. Commonly, radio-frequency identification (RFID) or code recognition techniques (e.g. Data Matrix) are applied to track the flow of workpieces through a manufacturing system and link processing data accordingly. Although the analysis of tracking data is well-examined, we still see a gap in the research on the trade-off between data acquisition, data analytics and data quality. Here, we present a framework to increase the value of existing data by enabling data analytics while addressing common pitfalls and reducing the costs of data management. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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