ABSTRACT
Safety related systems performance optimization is classically based on quantifying the effects that testing and maintenance activities have on reliability, availability, maintainability and cost (RAM+C). However, RAM+C quantification is often incomplete in the sense that important uncertainties may not be considered. An important number of studies have been published in the last decade in the field of RAM+C based optimization considering uncertainties (Bunea & Bedford, 2005, Marseguerra et al., 2004, Martorell et al., 2007). They have demonstrated that inclusion of uncertainties in the optimizationbrings the decisionmaker insights concerninghow uncertain the RAM+C results are and how this uncertainty does matter as it can result in differences in the outcome of the decision making process.
