Speaker
Florian Sobieczky
(SCCH Software Competence Center Hagenberg)
Description
The benefit of predictive maintenance (PdM) as an enterprise strategy for scheduling repairs compared to other maintenance strategies relies heavily on the optimal use of resources, especially for SMEs: Expertise in the production process, Machine Learning Know-How, Data Quality and Sufficiency, and User Acceptance of the AI-Models have shown to be significant factors in the profit calculation. Using a stochastic model for the production cycle, we show how all these factors determine reduction of revenue and increase in maintenance cost, providing quantitative conditions for the beneficial use of PdM.
| Classification | Both methodology and application |
|---|---|
| Keywords | Predictive Maintenance, Stochastic Modeling |
Primary authors
Prof.
Ivo Bukovsky
(University of South Bohemia)
Mr
Ondřej Budík
(University of South Bohemia)
Prof.
Maqbool Khan
(Pak-Austria Fachhoschule)
Florian Sobieczky
(SCCH Software Competence Center Hagenberg)