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PT. YGI, an automotive manufacturing company, uses the Press Injection GB-36 machine in its production process. However, this machine frequently experiences failures, causing high downtime and reduced production efficiency. This study aims to identify the types of failures, determine the most critical components, and propose a maintenance system using the Reliability Centered Maintenance (RCM) approach. The method used is descriptive qualitative, involving FMEA (Failure Mode and Effect Analysis), Logic Tree Analysis (LTA), and maintenance action selection. Data were collected through observations, historical failure documentation, and interviews. The analysis results indicate that components such as the injection nozzle, heating, and clamping are the most critical, contributing over 80% of total failures based on Pareto analysis and the highest RPN values in FMEA. Proposed maintenance actions include Condition Directed and Time Directed approaches. Additionally, the maintenance system is supplemented with standard operating procedures (SOP) and routine inspection schedules to improve machine reliability and reduce production downtime. This study is expected to enhance the efficiency and productivity of the Press Injection GB-36 machine at PT. YGI through the appropriate implementation of RCM.

This study aims to know the cost of designing maintenance using the Reliability Centered Maintenance method. Engine and fuel control, is a fuel engine system and fuel control system; in charge of distributing and measuring fuel from the fuel storage tank, to the combustion chamber. Gas turbine or  component area (Combustor), functions as a distributor of fuel used in aircraft systems and plays a role in carrying out its operation (Boeing 737-400 Aircraft Maintenance Manual). Reliability is the possibility of a component or system to be able to operate and/or carry out its functions. The function has been assigned to certain operating conditions and in a certain environment for a predetermined period of time. Thus, reliability is the probability that it will not fail or be able to perform its function for a period of time (t) or more. In the analysis of preventive maintenance financing, which is carried out when the reliability value reaches 70%, 60% and 50%, respectively, it is obtained for each component.