[Zurück]

K. Schenkelberg, U. Seidenberg, F. Ansari:
"A Simulation-based Process Model for Analyzing Impact of Maintenance on Profitability";
Vortrag: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria; 08.09.2020 - 11.09.2020; in: "25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)", IEEE, Wien (2020), ISBN: 978-1-7281-8956-7; S. 805 - 812.

Proper maintenance of Cyber Physical Production
Systems (CPPS) has gained much more attention in the era of
Industry 4.0. Selecting and implementing an optimal maintenance
policy is a complex task and thus largely discussed in literature.
Maintenance management has to consider all specific conditions
and restrictions of an enterprise in order to identify the most
suitable policy for a production system. Due to the fact that
analytical approaches strongly rely on availability and quality
of data, which is missing in various industrial use-cases, several
studies prefer simulation-based optimization. Nevertheless,
almost all data-driven and simulation-based models do not take
long-term economic indicators such as profitability into account.
This paper provides a simulation-based model, which enhances
maintenance policy selection process with the aim to improve
profitability. As a proof of concept, the model is applied in
a real-world use case scenario and further research pathways
on combining simulation-based and data-driven approaches are
outlined.

maintenance, maintenance policy selection, simulation, profitability, Industry 4.0

http://dx.doi.org/10.1109/ETFA46521.2020.9211915