Schreiber, Markus ; Weisbrod, Nik ; Ziegenbein, Amina ; Metternich, Joachim (2025)
Tool management optimisation through traceability and tool wear prediction in the aviation industry.
In: Production Engineering : Research and Development, 2023, 17 (2)
doi: 10.26083/tuprints-00028413
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
The aviation industry is characterised by high manufacturing requirements of products with difficult-to-machine materials to ensure quality and safety. Standardised and secured processes and transparency in resource and material flows within production are important requirements for meeting these safety and quality standards while staying competitive on the market. Those requirements also apply to a companies’ tool management and are to be met with an optimised tool change strategy considering economic aspects at the same time. The article presents a use case of a company belonging to the aviation industry striving to achieve goals concerning costs, quality, and time in their tool management. To realise potential improvements a retrofitting traceability solution is illustrated enabling data-based maintenance strategies in the use case. The traceability solution aims to provide transparency about tool inventory, the location of tools on the shop floor and functions as data acquisition system to realise the individual tracking of used tools. Using the individual tracking data of tools and matching them with relevant machining data enables the application of data-based maintenance strategies pointing out possibilities to indicate the tools’ wear state. This approach offers benefits such as reducing the scrap rate or machining down times with a direct impact on quality, costs, or lead times of customer orders.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2025 |
| Autor(en): | Schreiber, Markus ; Weisbrod, Nik ; Ziegenbein, Amina ; Metternich, Joachim |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Tool management optimisation through traceability and tool wear prediction in the aviation industry |
| Sprache: | Englisch |
| Publikationsjahr: | 16 Januar 2025 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | April 2023 |
| Ort der Erstveröffentlichung: | Berlin ; Heidelberg |
| Verlag: | Springer |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Production Engineering : Research and Development |
| Jahrgang/Volume einer Zeitschrift: | 17 |
| (Heft-)Nummer: | 2 |
| DOI: | 10.26083/tuprints-00028413 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/28413 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | The aviation industry is characterised by high manufacturing requirements of products with difficult-to-machine materials to ensure quality and safety. Standardised and secured processes and transparency in resource and material flows within production are important requirements for meeting these safety and quality standards while staying competitive on the market. Those requirements also apply to a companies’ tool management and are to be met with an optimised tool change strategy considering economic aspects at the same time. The article presents a use case of a company belonging to the aviation industry striving to achieve goals concerning costs, quality, and time in their tool management. To realise potential improvements a retrofitting traceability solution is illustrated enabling data-based maintenance strategies in the use case. The traceability solution aims to provide transparency about tool inventory, the location of tools on the shop floor and functions as data acquisition system to realise the individual tracking of used tools. Using the individual tracking data of tools and matching them with relevant machining data enables the application of data-based maintenance strategies pointing out possibilities to indicate the tools’ wear state. This approach offers benefits such as reducing the scrap rate or machining down times with a direct impact on quality, costs, or lead times of customer orders. |
| Freie Schlagworte: | Tool cycle improvement, Tool maintenance, Predictive analytics, Retrofitting, Remaining useful lifetime, Data-based transparency |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-284130 |
| Zusätzliche Informationen: | Issue: Digital-based Production |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau 600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung |
| 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) > Management industrieller Produktion |
| Hinterlegungsdatum: | 16 Jan 2025 14:19 |
| Letzte Änderung: | 17 Jan 2025 13:07 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Tool management optimisation through traceability and tool wear prediction in the aviation industry. (deposited 16 Jan 2025 14:19) [Gegenwärtig angezeigt]
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