Development of a Risk Matrix and Extending the Risk-based Maintenance Analysis with Fuzzy Logic

Unexpected failures, the loss of production, and higher maintenance costs are major problems of manufacturing systems. Hence, certain investigating methods, such as Risk-based maintenance (RBM), help to deal with such issues. An important element of the RBM planning is to assess the consequences of action and prioritization of maintenance tasks based on the risk of potential failures. The main purpose of this classification is the right choice for maintenance strategy, maintenance intervals, and a certain level of spare parts in the storage. This manuscript illustrates the use of fuzzy logic for the minimization of suboptimal classifications, and it suggests a fuzzy inference system (FIS) for overcoming the challenge mentioned above. Membership functions and the rule base are developed. It is possible to integrate the suggested approach to currently existing computer-aided maintenance management system (CMMS) in a manufacturing firm (MF).