This paper focuses on an approach to develop a robust, reliable, maintainable and proactive process of data collection through relevant indicators. Mainly, it aims to model and optimize the effectiveness of the RAMS data collection process (DCP), under cost constraints, while taking into account the its operating conditions and human factors. It also deals with the data collection system maintenance, data collection process and database maintenance over time. The authors have proposed an approach to model and optimize the RAMS DCP based on data relevance assessment, indicators of complexity, the usefulness and the quantity of information collected using the DCP and database.