Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
K. Matyas, T. Nemeth, K. Kovacs, R. Glawar:
"A procedural approach for realizing prescriptive maintenance planning in manufacturing industries";
Vortrag: 67th CIRP General Assembly,
Lugano;
21.08.2017
- 23.08.2017; in: "CIRP Annals-Manufacturing Technology",
Elsevier Ltd.,
66
(2017),
ISSN: 0007-8506;
S. 461
- 464.
Kurzfassung englisch:
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.
Schlagworte:
Maintenance, Predictive Model, Production quality
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.cirp.2017.04.007
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_262968.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.