Abstract:
As the world-leading toy manufacturing company, PT E have to maintain the quality of the product. All the toy produce must follow several testing to ensure the quality and safety of the product. This requires the company to continuously improve the testing process and machine reliability.
The objective of this study is to determine which components activate downtime machine and proposed a new preventive maintenance scheduling. There are several steps to develop preventive maintenance scheduling, first calculating the Time to Repair (TTR), Time between Failure (TBF) and Time to Failure (TTF). Then the distribution fitting is conducted using statistical software to find the Mean time to Repair (MTTR), Mean Time Between Failure (MTBF), and Mean Time to Failure (MTTF). Those data then will be used to calculate maintenance cost and interval to get the desired result.
From this study concluded that the GC1 has the most frequent downtime machine with two critical components, column, and autosampler. The results show that components can achieve 85% of reliability by using the new preventive scheduling. The new preventive scheduling is made based on the new time interval calculated. The total cost of maintenance activity also reduces 12% from IDR 38,106,329.83 to IDR 33,695,479.17.
