Abstract

Using a CNC oxyfuel cutting machine in the steel plate cutting process is more efficient, saves time and can increase the speed of the production process. However, CNC oxyfuel cutting machines often fail, resulting in steel plates failing to cut and causing delays in the production process. Therefore, maintenance and damage analysis on CNC oxyfuel cutting machines is very necessary. This research aims to monitor maintenance and analyze damage to CNC oxyfuel cutting machines at PT Kunango Jantan Group using the FMEA (Failure Mode Effect Analysis) method. Through this method, problems in the production process can be identified, so that machine problems can hopefully be identified early. FMEA is a methodology used to evaluate failures in a system, design, process and service. With this method, potential failure identification can be done by assigning a score to each failure mode based on the occurrence level, severity and detection level. Analysis of the seriousness level of damage is useful for analyzing the impact resulting from the damage mode. The consideration taken in determining the level of seriousness of damage is important data to determine whether the mode of machine damage has a serious impact on the production process. From the results of the Failure Mode and Effect Analysis (FMEA) analysis of the CNC Oxyfuel Cutting machine at PT Kunango Jantan, failures were identified for 6 components of the CNC Oxyfuel Cutting machine. The three components that have the largest RPN (Risk Priority Number) value and were categorized as having potential severity are the torch and nozzle (RPN=80), followed by the motor (RPN=48) and steel (RPN=40). This indicates the need for immediate repairs to avoid failures of these three components. If it is repaired too late, more fatal damage can occur and the production process can stop so that the company can experience greater losses. The D600 computer and gearbox have high severity with quite low RPN values, namely 16 and 32. This shows that if damage occurs to these two components it will not cause production to stop, but can cause a decrease in the number of production processes.

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