Talks and Poster Presentations (with Proceedings-Entry):
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";
Talk: 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0,
Athen;
2021-09-22
- 2021-09-24; in: "Procedia CIRP",
Elsevier,
104
(2021),
ISSN: 2212-8271;
1553
- 1558.
English abstract:
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.
Keywords:
prescriptive maintenance smart maintenance data-driven maintenance
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.procir.2021.11.262
Created from the Publication Database of the Vienna University of Technology.