| Autor: |
Pfirrmann, D., Voit, M., Eckstein, M. |
| Předmět: |
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| Zdroj: |
MM Science Journal; 2019 Special Issue, p3067-3070, 4p |
| Abstrakt: |
Global production is in a state of change, with multiple challenges. One challenge is the digitization of production processes in the aerospace industry, due to the high requirements regarding the reliability of the transportation vehicle. It is a premise to record the manufacturing processes using sensors and to analyze them by means of process data management. Therefore, approaches regarding the predictable quality of the manufacturing process and the predictable maintenance of the machinery offer a high industrial potential. The aim should be to eliminate any testing processes to obtain an early statement about the component quality at an early stage in the value chain by means of process data management. Furthermore, based on the collected process data, the production process can be controlled preventively during the active analysis. For this, appropriate algorithms are necessary that allow reliable process statement and control. This publication presents the views of an aerospace industry company in terms of requirements and possible approaches to process data management. As application examples, the challenges and a solution concept for a milling process will be explained, with the claim that the process data management is applicable to different manufacturing processes of the value chain. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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