A Risk and Priority Model for Cost-Benefit Analysis and Work Scheduling within Predictive Maintenance Scenarios

This paper describes a framework to develop cost-benefit analyses of the use of predictive maintenance technologies, i.e., sensors and network infrastructure, in order to optimise field maintenance activities in situations where there is a need for maintenance personnel to move across a wide geographical area. The proposed methodologies can be used both in the strategic phase, in which it is necessary to make the choice of the maintenance strategy, and in the operational phase, in which, through decision support systems, it is necessary to plan maintenance interventions in the current maintenance cycle. In order to illustrate the proposed methodologies, a toy problem is defined and developed via Monte Carlo simulations. Experiments show the effectiveness of the proposed framework.