Talks and Poster Presentations (with Proceedings-Entry):
K. Matyas, T. Nemeth, K. Kovacs, R. Glawar:
"A procedural approach for realizing prescriptive maintenance planning in manufacturing industries";
Talk: 67th CIRP General Assembly,
Lugano;
2017-08-21
- 2017-08-23; in: "CIRP Annals-Manufacturing Technology",
Elsevier Ltd.,
66
(2017),
ISSN: 0007-8506;
461
- 464.
English abstract:
Prescriptive maintenance planning is an essential enabler of smart and highly flexible production
processes. Due to increasing complexity, traditional maintenance strategies lack in fulfilling present-day
production requirements. This paper proposes a novel procedural approach for prescriptivemaintenance
planning in manufacturing companies. Multivariate data analysis and simulation tools are utilized to
analyse historical data (product quality data, machine failure data and production program data). Based
on identified data correlations and incoming real-time machine data, system failures are predicted and
prescriptive maintenance measures are proposed. Results from real implementations in the automotive
manufacturing industry are presented to demonstrate the effectiveness of the proposed approach.
Keywords:
Maintenance, Predictive Model, Production quality
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.cirp.2017.04.007
Electronic version of the publication:
http://publik.tuwien.ac.at/files/publik_262968.pdf
Created from the Publication Database of the Vienna University of Technology.