Raw Mill Machine Effectiveness Measurement through the Total Productive Maintenance (TPM) Implementation

OPSI Pub Date : 2022-12-30 DOI:10.31315/opsi.v15i1.7729
Shandy Satria Wangsa Putra, Berty Dwi Rahmawati
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引用次数: 1

Abstract

PT X is a cement manufacturer company that experienced a loss of production caused by the high value of downtime. Based on downtime data, the raw mill machine appears to have the most significant value in machine downtime. This study aims to measure the raw mill machine's effectiveness in applying Total Productive Maintenance (TPM). The method used in this research is Overall Equipment Effectiveness (OEE). This method measures engine effectiveness and loss factor analysis using the Six Big Losses method, as well as finding the root cause through a five why and cause and effect diagram to give the most suitable recommendations. The result of this study found that the average OEE value in 2021 was below the international OEE standard of 85%, which is 72% and 67% for Raw Mill Plant 9 and Raw Mill Plant 10, respectively. The low performance of Raw Mill Plant 9 and Raw Mill Plant 10 machines is a consequence of breakdown losses and reduced speed losses that had happened. The root causes were a lack of training for mechanics and no stock control for spare parts. The recommendations are to improve training programs and facilities and create a spare parts inventory management system.
通过实施全面生产维护(TPM)来测量磨机的有效性
PT X是一家水泥制造公司,由于高停机时间造成了生产损失。根据停机时间数据,原磨机似乎在机器停机时间中具有最显著的价值。本研究旨在测量原料磨机实施全面生产维护(TPM)的有效性。本研究使用的方法是整体设备效能(OEE)。该方法使用六大损失法测量发动机效能和损失因素分析,并通过五个为什么和因果关系图找到根本原因,给出最合适的建议。本研究结果发现,2021年的平均OEE值低于85%的国际OEE标准,9号厂和10号厂的OEE分别为72%和67%。原磨厂9和原磨厂10机器的低性能是发生故障损失和降低速度损失的结果。根本原因是缺乏对机械师的培训和备件的库存控制。建议是改进培训计划和设施,并建立备件库存管理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12 weeks
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