ABSTRACT
The Original Equipment Manufacturers (OEMs) nowadays face the need of establishing an optimized maintenance plan from the design stage of the assets. Up to date, the production-centered business model has limited their after-sales maintenance strategy, and accordingly their knowledge about the assets operational behaviour. Furthermore, the added difficulty of the assets operating in different contexts (increasing the variability of their behavioural patterns) contributes to the misalignment of the maintenance plan with the assets’ actual needs. Therefore the purpose of this paper is to propose a methodology based on the proportional hazards model for assessing the behaviour of the assets and the influence of the different operational context variables in their reliability. This methodology aims to provide support information to a better customization of the maintenance plans in the offer stage. Likewise, the proposed methodology has been verified and validated through a real case study with data provided by a leading company in the railway sector.
