ABSTRACT Reliability-centered maintenance (RCM) is among the contemporary maintenance methodologies used to increase reliability of industrial systems. RCM is used to ensure that the functions of any given component of an asset or operating system are preserved in terms of safety, quality, and economy without environmental impact. Decision processes in traditional RCM applications feature predominantly qualitative information requirements, used in decision-making processes without adequate criteria and subject to errors caused by human factors. In this context, this research proposes the creation of a knowledge database that merges qualitative and quantitative information to be used in analyzing and improving decisions in RCM deployments. The choice of the best data items to be used in the implementation and evaluation of RCMs, as well as formalization of information for application in decision-making, is important accomplishments to ensure the program’s suitability to the company context, thereby resulting in the delivery of program objectives.