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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization
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| Zeitschriftentitel: | Procedia CIRP |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Procedia CIRP, 81, 2019, S. 369-374 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Elsevier BV
|
| Schlagwörter: |
| author_facet |
Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela |
|---|---|
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Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela |
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Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela Procedia CIRP Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization General Medicine |
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ungermann, florian |
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Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela 2212-8271 Elsevier BV General Medicine http://dx.doi.org/10.1016/j.procir.2019.03.064 Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization Procedia CIRP |
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| title |
Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
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data analytics for manufacturing systems – a data-driven approach for process optimization |
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General Medicine |
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http://dx.doi.org/10.1016/j.procir.2019.03.064 |
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| spelling | Ungermann, Florian Kuhnle, Andreas Stricker, Nicole Lanza, Gisela 2212-8271 Elsevier BV General Medicine http://dx.doi.org/10.1016/j.procir.2019.03.064 Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization Procedia CIRP |
| spellingShingle | Ungermann, Florian, Kuhnle, Andreas, Stricker, Nicole, Lanza, Gisela, Procedia CIRP, Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization, General Medicine |
| title | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| title_full | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| title_fullStr | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| title_full_unstemmed | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| title_short | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| title_sort | data analytics for manufacturing systems – a data-driven approach for process optimization |
| title_unstemmed | Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization |
| topic | General Medicine |
| url | http://dx.doi.org/10.1016/j.procir.2019.03.064 |