Analysis of Total Productivity Maintenance to Increase Batching Plant Machine Productivity at Moving Plant PT Adhi Persada Beton in Yogyakarta

Eka Bambang Gusminto (), Muhammad Naufal Mahardika, Isti Fadah, Handriyono, Regina Niken Wilantari, Markus Apriono and Siti Maria Wardayati
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Eka Bambang Gusminto: University of Jember
Muhammad Naufal Mahardika: University of Jember
Isti Fadah: University of Jember
Handriyono: University of Jember
Regina Niken Wilantari: University of Jember
Markus Apriono: University of Jember
Siti Maria Wardayati: University of Jember

A chapter in Proceedings of the 5th International Conference on Global Innovation and Trends in Economy 2024 (INCOGITE 2024), 2024, pp 329-343 from Springer

Abstract: Abstract This study was conducted on a batching machine at the movable plant of PT Adhi Persada Beton in Yogyakarta. The purpose is to determine the productivity level of a batching plant machine and analyze what factors that can decrease the machine’s productivity. Source of data used in this study are secondary data, collected from the machine’s performance history that was recorded from July 2023 to January 2024. The methods of analysis of this study are using the Overall Equipment Effectiveness (OEE) method and Six Big Losses. Based on a calculation of these two methods, we obtained the OEE value of the batching plant of PT Adhi Persada Beton is above the JIPM standard value of about 88.3%, and the calculation results of six big losses describe that set-up and adjustment losses are the main cause of the decreased OEE value of the machine that about 6.49%. Based on fishbone diagram analysis, the causes of decreased OEE value are environmental factors, humans, machines, methods, and materials. Based on Total Productivity Maintenance (TPM) analysis, the improvement can be carried out by training the employees, conducting periodic evaluations, forming SOPs that are related to the maintenance of the machine, and increasing employee awareness.

Keywords: OEE; PT Adhi Persada Beton; Six Big Losses; TPM (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-585-0_24

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