Abstract
Manufacturing companies face many challenges, such as demographic change, skills shortages, increased product variance, and pressure regarding costs, quality, and time. Among these challenges are those related to the prevention of human error. To enable data-based prediction of these errors, it is first necessary to examine the data collection process. This article shows that data protection is one major obstacle.
Translated title of the contribution | Prediction of Human Errors in Line Assembly – Conceptual Data Model and Challenges in Data Collection. |
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Original language | German |
Pages (from-to) | 70-74 |
Number of pages | 5 |
Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
Volume | 119 |
Issue number | 1-2 |
DOIs | |
State | Published - Feb 2024 |