Meister, Maximilian ; Beßle, Julia ; Cviko, Amir ; Böing, Tobias ; Metternich, Joachim (2019)
Manufacturing Analytics for Problem-Solving Processes in Production.
In: Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia), 81
doi: 10.1016/j.procir.2019.03.001
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Due to constantly growing complexity in production complex problems occur more often and problem-solving is of increasing importance. The question arises whether the established methods and tools for problem-solving meet the new requirements. Opportunities emerge through an increased data availability and data analysis can help to support solving complex problems. In order to evaluate resulting possibilities this article examines the importance of Manufacturing Analytics in today's problem-solving processes. Based on an empirical study using interviews to gather experience out of industrial projects it is dealing with fundamentals of modern Manufacturing Analytics and its influence on effective and efficient problem-solving considering statistics, machine learning, data mining and engineering processes.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Meister, Maximilian ; Beßle, Julia ; Cviko, Amir ; Böing, Tobias ; Metternich, Joachim |
| Art des Eintrags: | Bibliographie |
| Titel: | Manufacturing Analytics for Problem-Solving Processes in Production |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Verlag: | Elsevier Ltd. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia) |
| Jahrgang/Volume einer Zeitschrift: | 81 |
| DOI: | 10.1016/j.procir.2019.03.001 |
| Kurzbeschreibung (Abstract): | Due to constantly growing complexity in production complex problems occur more often and problem-solving is of increasing importance. The question arises whether the established methods and tools for problem-solving meet the new requirements. Opportunities emerge through an increased data availability and data analysis can help to support solving complex problems. In order to evaluate resulting possibilities this article examines the importance of Manufacturing Analytics in today's problem-solving processes. Based on an empirical study using interviews to gather experience out of industrial projects it is dealing with fundamentals of modern Manufacturing Analytics and its influence on effective and efficient problem-solving considering statistics, machine learning, data mining and engineering processes. |
| Freie Schlagworte: | digitalization;Industrie 4.0;Manufacturing Analytics;systematic problem solving process |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > CiP Center für industrielle Produktivität |
| Hinterlegungsdatum: | 23 Jul 2019 05:21 |
| Letzte Änderung: | 23 Jul 2019 05:21 |
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