An investigation into the economic efficiency of different maintenance strategies based on a discrete event simulation

Maximilian Benker, Victor Rommel, Michael F. Zaeh

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish
Pages (from-to)428-433
Number of pages6
JournalProcedia CIRP
Volume107
DOIs
StatePublished - 2022
Event55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Lugano, Switzerland
Duration: 29 Jun 20221 Jul 2022

Keywords

  • Discrete Event Simulation
  • Economic Assessment
  • Industry 4.0
  • Predictive Maintenance

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