RCM methodology applied to the die-cutting industry

Authors

Mejia Alvarez, Victor Hugo

Abstract

This project aims to implement the RCM methodology in the process production of a company producing auto parts and motorcycle parts associated with the field of the die-cutting, taking into account that it is of great importance to detect and predict the failure of a tool or die long before its possible failure; Implementing a process of tasks associated with scheduled maintenance applying the methodology RCM which is based on reliability centered maintenance (RCM for its acronym in English) is a highly recognized and widely used methodology for develop maintenance plans that include all kinds of maintenance strategies maintenance (preventive, predictive, fault finding, etc.) being a technique of organization of activities and maintenance management to develop organized programs that are based on the reliability of the equipment in this case dies (preventive) trying to eliminate the causes of failures, on the basis of knowledge of the state of the equipment (predictive), for which it entails a continuous search for information and knowledge, which promotes the improvement of reliability of the die, motivating continuous improvement and greater efficiency and availability of the equipment (dies), because there is a high number of failures affecting the response of the operational team with deliveries to customers. These faults are identified from the workshop process, such as cracks in cores and matrices due to overwork, ruptures due to interventions executed in an inadequate (bad procedure assemblies, inadequate heat treatments, incorrectly selected steels, excessive welds applied inadequately), inadequate planning of intervention cadences preventive. It is concluded that by integrating the RCM methodology, recurrent failures of the dies, focusing the process on maintaining the reliability and availability of the equipment (dies). By starting to manage preventive maintenance in a planned and regulated, intervention costs, corrective maintenance, quality reports and delays in customer deliveries will be substantially minimized