An enhanced approach for implementing risk-based maintenance in a total productive maintenance perspective

This paper discusses how to integrate Risk-Based Maintenance (RBM) methods into the Total Productive Maintenance (TPM) approach. The research approach outlined in this study is based on the description of a working procedure that learns from historical data and plans not only predictive but also proactive maintenance activities. Many researchers analysed the combined effects of different maintenance programs. However, topics such as RBM and TPM are generally analysed separately. This study investigates the practices of the two programs simultaneously because after successfully implementing RBM, TPM is needed for a correct equipment condition monitoring, maintenance improvement and planning too. In particular, the development of a single empirical framework can be useful as guidelines for diagnostics, fault prediction, and finally analysis in terms of losses and maintenance performance trends.