Analisis Performansi Mesin Pre-Turning dengan Metode Overall Equipment Effectiveness pada PT APCB

Nofriani Fajrah    (Universitas Putera Batam)
Noviardi Noviardi (Universitas Putera Batam)

 ) Corresponding Author
Copyright (c) 2018 Nofriani Fajrah, Noviardi Noviardi

PT APCB is an electronics company that produces electronic device components called Narrow Shaft. The purpose of this study is to evaluate the maintenance activity in a pre-turning machine by measuring the Overall Equipment Effectiveness (OEE) level. The OEE level is obtained based on the Availability, Performance, and Quality Rate of the pre-turning machine maintenance activities. In addition, the purpose of this study is to identify the causes of the ineffectiveness of pre-turning machine maintenance activities and provide improvement suggestions for maintenance effectiveness at PT APCB. Based on the results of the calculation of the OEE value it is known that the PT APCB company still has not reached the world standard of 85%. This shows that the company still has to improve maintenance activities in the pre-turning process. The calculation of OEE value shows that the lowest OEE level in February 2016 was 48.31%, while the highest OEE level in September 2016 was 83.23%. The low performance of the pre-turning machine process was due to the ineffectiveness of maintenance activities which were caused by 14 factors. The primary causal factor with the highest value is the bar feeder problem with the highest request frequency value of 250.

Breakdown; Maintenance; Overall Equipment Effectiveness
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[1] N. H. Kamath and L. L. R. Rodrigues, “Simultaneous Consideration of TQM and TPM Influence on Production Performance: A Case Study on Multicolor Offset Machine Using SD Model,” Perspect. Sci., vol. 8, pp. 16–18, 2016,

[2] S. Kigsirisin, S. Pussawiro, and O. Noohawm, “Approach for Total Productive Maintenance Evaluation in Water Productivity: A Case Study at Mahasawat Water Treatment Plant,” Procedia Eng., vol. 154, pp. 260–267, 2016,

[3] G. Saputra and A. Hamsi, “Analisa Optimasi Pemesinan pada Mesin Bor Breda Tipe R-35 dengan Algoritma Genetika,” J. E-Dinamis, vol. 9, no. 1, pp. 184–193, 2014.

[4] A. Susarno, “Studi Pengaruh Sudut Potong Pahat HSS pada Proses Bubut denganTipe Pemotongan Orthogonal terhadap Kekasaran Permukaan,” Universitas Muhammadiyah Surakarta, 2012.

[5] V. Marinov, Manufacturing Processes For Metal Products. Iowa US: Kendall Hunt Publishing, 2010.

[6] A. Rahayu, “Evaluasi Efektivitas Mesin Kiln Dengan Penerapan Total Productive Maintenance Pada Pabrik II / III PT Semen Padang.,” J. Optimasi Sist. Ind., vol. 13, no. 1, pp. 454–485, 2014,

[7] M. W. Wakjira and A. P. Singh, “Total Productive Maintenance A Case Study,” Glob. J. Res. Eng., vol. 12, no. 1, pp. 25–23, 2012.

[8] O. T. R. Almeanazel, “Total Productive Maintenance Review and Overall Equipment,” Jordan J. Mech. Ind. Eng., vol. 4, no. 4, pp. 517–522, 2010.

[9] B. G. Mwanza and C. Mbohwa, “Design of a Total Productive Maintenance Model for Effective Implementation: Case Study of a Chemical Manufacturing Company,” Procedia Manuf., vol. 4, pp. 461–470, 2015,

[10] D. H. Stamatis, The OEE primer: understanding overall equipment effectiveness, reliability, and maintainability. Productivity Press, Cambridge MA, Becker Associates Inc., 2010,

[11] A. S. Badiger and R. Gandhinathan, “A Proposal: Evaluation of OEE and Impact of Six Big Losses on Equipment Earning Capacity,” Int. J. Process Manag. Benchmarking, vol. 2, no. 3, pp. 234–238, 2008,

[12] E. Krisnaningsih, “Usulan Penerapan TPM dalam Rangka Peningkatan Efektifitas Mesin dengan OEE sebagai Alat Ukur di PT XYZ,” Prosisko, vol. 2, no. 2, pp. 13–26.

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