Using machine learning prediction models for quality control a case study from the automotive industry
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10287-023-00448-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8431 |
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oai:localhost:PNK-84312023-05-10T01:19:05Z Using machine learning prediction models for quality control a case study from the automotive industry Mohamed Kais, Msakni Anders, Risan Peter, Schütz LSTM random forest. CC BY This paper studies a prediction problem using time series data and machine learning algorithms. The case study is related to the quality control of bumper beams in the automotive industry. These parts are milled during the production process, and the locations of the milled holes are subject to strict tolerance limits. Machine learning models are used to predict the location of milled holes in the next beam. By doing so, tolerance violations are detected at an early stage, and the production flow can be improved. A standard neural network, a long short term memory network (LSTM), and random forest algorithms are implemented and trained with historical data, including a time series of previous product measurements. Experiments indicate that all models have similar predictive capabilities with a slight dominance for the LSTM and random forest. 2023-05-10T01:19:05Z 2023-05-10T01:19:05Z 2023 Book https://link.springer.com/article/10.1007/s10287-023-00448-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8431 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
LSTM random forest. |
| spellingShingle |
LSTM random forest. Mohamed Kais, Msakni Anders, Risan Peter, Schütz Using machine learning prediction models for quality control a case study from the automotive industry |
| description |
CC BY |
| format |
Book |
| author |
Mohamed Kais, Msakni Anders, Risan Peter, Schütz |
| author_facet |
Mohamed Kais, Msakni Anders, Risan Peter, Schütz |
| author_sort |
Mohamed Kais, Msakni |
| title |
Using machine learning prediction models for quality control a case study from the automotive industry |
| title_short |
Using machine learning prediction models for quality control a case study from the automotive industry |
| title_full |
Using machine learning prediction models for quality control a case study from the automotive industry |
| title_fullStr |
Using machine learning prediction models for quality control a case study from the automotive industry |
| title_full_unstemmed |
Using machine learning prediction models for quality control a case study from the automotive industry |
| title_sort |
using machine learning prediction models for quality control a case study from the automotive industry |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10287-023-00448-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8431 |
| _version_ |
1765626990354759680 |
| score |
8.887836 |