Risk-based maintenance backlog
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A relevant issue in manufacturing and production seems to be “silo”-organisations and “silo”-planning with lack of coordination between departments. Integrated Planning (IPL) is a concept that aims to cope with this “silo”-problem. With the ground-breaking potentials from Industry 4.0 it should be expected that the advancement of IPL will speed up in development and implementation in companies. To manage IPL sound Key Performance Indicators (KPIs) must be implemented and established in the company. A promising indicator for IPL is Maintenance Backlog (MB). A strength of this indicator is the capability to be modelled with Risk OMT (Risk modelling—Integration of Organisational, human and Technical factors). It remains to investigate how MB can be modelled to a Quantitative Risk Analysis (QRA). The main objective of this article is to develop a model of MB in QRA. In particular the article demonstrates a case study of a production system where both Fault Tree Analysis (FTA), and Event Tree Analysis (ETA) is modelled. The article discusses the demonstration results and evaluate how potentials in Industry 4.0 can support QRA.