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Research was conducted at a company that manufactures automotive components for both two- wheeled and four-wheeled vehicles which are made from aluminum as the raw material. The processes in this company are die casting, machining, assembly, & painting. In this research, the author focuses on examining the die casting process. The OEE value in May, June & July 2023 did not reach the target of 85% of the target set by the company and the forecast for 2024 could not be met. This research discusses how to increase productivity so that the output from the die casting process increases and increases the OEE results on machines no. 2 and no. 6. Then the value, semi-value and non-value movements were classified using theoretical value production (TVP) and the results of discussions with experienced people in their fields through focus group discussions, obtained a cycle time of 40 seconds with a value movement of 9.95 seconds, semi-value of 23.08 seconds, and non value of 6.91 seconds. Meanwhile, for machine no. 6, the cycle time value obtained was 37 seconds with a movement value of 7.99 seconds, semi value of 22.40 seconds, and non value of 6.61 seconds. PDCA analysis was carried out on non-value movements through focus group discussions. The results of the PDCA analysis provide improvement ideas based on improvement categories with eliminate, combine, re- range, simplify (ECRS). From the results of the repair simulation, it was found that the cycle time on machine no. 2 was reduced by 6.91 seconds to a total of 33.03 seconds with a productivity of 1.27. Meanwhile, for machine no. 6, it decreased by 6.61 seconds to a total of 30.39 seconds with a productivity of 1.29. This research provides very useful insights and can be implemented on all machines in the company.
Ds et al. (Sat,) studied this question.