Abstract
Many companies remain reluctant towards the implementation of a predictive maintenance (PdM) strategy, as investment costs for that are high and the remaining useful lifetime (RUL) estimates, which it is based on, are uncertain. Hence, it is unclear how viable a PdM strategy is. This paper is assessing the economic impact of a PdM strategy with the help of a discrete event simulation model, leading to the insight that a PdM strategy outperforms other strategies even in cases of highly uncertain RUL predictions. It leads to an increase in total running time up to 5 % and 4 %, compared to a reactive and a planned maintenance strategy, respectively.
Original language | English |
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Pages (from-to) | 428-433 |
Number of pages | 6 |
Journal | Procedia CIRP |
Volume | 107 |
DOIs | |
State | Published - 2022 |
Event | 55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Lugano, Switzerland Duration: 29 Jun 2022 → 1 Jul 2022 |
Keywords
- Discrete Event Simulation
- Economic Assessment
- Industry 4.0
- Predictive Maintenance