Manual Data Collection in Assembly Lines: A Case Study on the Human Factor in Data Accuracy
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| Názov: | Manual Data Collection in Assembly Lines: A Case Study on the Human Factor in Data Accuracy |
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| Autori: | Thurnheer, Jan, Fiedler, Jannick, Plümke, Lasse, Netland, Torbjørn |
| Prispievatelia: | Schlund, Sebastian, Ansari, Fazel |
| Zdroj: | IFAC-PapersOnLine, 58 (19) 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 |
| Informácie o vydavateľovi: | Elsevier BV, 2024. |
| Rok vydania: | 2024 |
| Predmety: | Shop floor Data, Cyber-physical Production Systems, Manual Data Generation, Manual Assembly Line |
| Popis: | Due to the growing presence of digital technologies in factories, an increasing number of automated processes systematically record various data such as timestamps, product IDs, quantities, and defects. However, this is still not the case for many manual assembly lines, which often rely on manual data acquisition where workers, in addition to the assembly tasks, are asked to record data manually. Such manual data generation can significantly reduce the data quality and increase the variation of the data. In this paper, the authors study this problem by conducting a case study of a manufacturer of engine components based in Switzerland. The paper examines the antecedents of deviations in manually collected assembly line data-both from a technical and behavioral perspective. Based on the findings, a model is developed for the case company that compares manually collected data to the same data in the planning systems to identify and act on data discrepancies. The paper concludes with practical guidelines on how to mitigate data quality loss in manual assembly. 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 IFAC-PapersOnLine, 58 (19) ISSN:2405-8963 |
| Druh dokumentu: | Article Conference object |
| Popis súboru: | application/application/pdf |
| Jazyk: | English |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2024.09.098 |
| DOI: | 10.3929/ethz-b-000704424 |
| Prístupová URL adresa: | http://hdl.handle.net/20.500.11850/704424 |
| Rights: | Elsevier TDM CC BY NC ND |
| Prístupové číslo: | edsair.doi.dedup.....d81e5caa3f335d43486b86936ddc8ad6 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Due to the growing presence of digital technologies in factories, an increasing number of automated processes systematically record various data such as timestamps, product IDs, quantities, and defects. However, this is still not the case for many manual assembly lines, which often rely on manual data acquisition where workers, in addition to the assembly tasks, are asked to record data manually. Such manual data generation can significantly reduce the data quality and increase the variation of the data. In this paper, the authors study this problem by conducting a case study of a manufacturer of engine components based in Switzerland. The paper examines the antecedents of deviations in manually collected assembly line data-both from a technical and behavioral perspective. Based on the findings, a model is developed for the case company that compares manually collected data to the same data in the planning systems to identify and act on data discrepancies. The paper concludes with practical guidelines on how to mitigate data quality loss in manual assembly.<br />18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024<br />IFAC-PapersOnLine, 58 (19)<br />ISSN:2405-8963 |
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| ISSN: | 24058963 |
| DOI: | 10.1016/j.ifacol.2024.09.098 |