Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
K. Kovacs, C. Heistracher, J. Giner, W. Sihn, J. Schneeweiss:
"A multi-level model for realizing data-driven maintenance in manufacturing enterprises: Use case of jewelry production";
Vortrag: 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0,
Athen;
22.09.2021
- 24.09.2021; in: "Procedia CIRP",
Elsevier,
104
(2021),
ISSN: 2212-8271;
S. 1553
- 1558.
Kurzfassung englisch:
Advancing digitalization is leading to new opportunities in maintenance. However, the implementation of data-driven solutions faces several challenges in industrial practice. Bridging the gap between research and practice, this paper proposes a procedural approach that covers the complete development and implementation process and enables industrial application of prescriptive maintenance. A multi-level model is developed to support the selection of the right type of data analytics application and appropriate analytics methods based on available data. Furthermore, a Data Canvas is introduced to provide an overview of relevant data sources. The proposed approach is demonstrated in the context of jewelry production.
Schlagworte:
prescriptive maintenance smart maintenance data-driven maintenance
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.procir.2021.11.262
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.