Analisis Efektivitas Perawatan Preventif Menggunakan OEE dan Six Big Losses Pada Mesin Simplex di PT. XYZ

Adinda Rosmalia; Priyo Ari Wibowo; Rikzan Bachrul Ulum

doi:10.61132/jupiter.v3i4.991

Authors

Adinda Rosmalia Sekolah Tinggi Teknologi Wastukancana
Priyo Ari Wibowo Sekolah Tinggi Teknologi Wastukancana
Rikzan Bachrul Ulum Sekolah Tinggi Teknologi Wastukancana

DOI:

https://doi.org/10.61132/jupiter.v3i4.991

Keywords:

OEE, Preventive Maintenance, Production Effectiveness, Simplex Machine, Six Big Losses

Abstract

This study aims to analyze the effectiveness of preventive maintenance on the Simplex machine at PT. XYZ by applying the Overall Equipment Effectiveness (OEE) method and identifying the primary causes of production losses through the Six Big Losses framework. Preventive maintenance is an important strategy to ensure machine reliability, reduce downtime, and improve production efficiency. OEE is a widely recognized performance measurement tool consisting of three key indicators: Availability, Performance, and Quality. These indicators collectively reflect the overall effectiveness of equipment in supporting the production process. The results of this study indicate that the OEE value of the Simplex machine is 79%, which remains below the world-class benchmark of 85% as recommended by the Japan Institute of Plant Maintenance (JIPM). This finding suggests that the machine’s performance has not yet reached the optimal standard and requires improvement efforts. Further analysis using the Six Big Losses approach reveals that the most significant contributors to reduced machine effectiveness are equipment failure and idling or minor stoppages. These two categories account for the majority of productivity losses, thereby affecting both machine utilization and production output. To further explore the underlying issues, a root cause analysis was conducted using a fishbone diagram, which enabled the identification of several critical factors related to human resources, methods, machines, materials, environment, and measurement systems. Based on this analysis, improvement proposals were developed through the 5W+1H method, providing a systematic strategy to enhance preventive maintenance practices. The recommended actions include scheduling more frequent inspections, improving operator training, upgrading spare parts management, and implementing stricter monitoring of machine performance. In conclusion, this study highlights the importance of continuous preventive maintenance to optimize machine productivity and reduce unplanned downtime. By adopting the proposed improvement strategies, PT. XYZ can increase the effectiveness of its Simplex machine, moving

References

Akbar, R., Siroj, R. A., Win Afgani, M., & Weriana. (2023). Experimental research dalam metodologi pendidikan. Jurnal Ilmiah Wahana Pendidikan, 9(2), 465–474. https://jurnal.peneliti.net/index.php/JIWP/article/view/3165

Candra Susanto, P., Ulfah Arini, D., Yuntina, L., Panatap Soehaditama, J., & Nuraeni, N. (2024). Konsep penelitian kuantitatif: Populasi, sampel, dan analisis data (sebuah tinjauan pustaka). Jurnal Ilmu Multidisplin, 3(1), 1–12. https://doi.org/10.38035/jim.v3i1.504

Eshardiansyah, M. C., Azizah, F. N., & Wahyudin, W. (2024). Analisis mesin CNC milling dengan metode overall equipment effectiveness dalam mendeteksi six big losses di PT. A. Industrika: Jurnal Ilmiah Teknik Industri, 8(2), 227–237. https://doi.org/10.37090/indstrk.v8i2.1249

Mashartanto, A. A., Roselia, F., & Kristian, A. D. (2023). Analisis sistem perawatan safety equipment terhadap keselamatan crew kapal MT. Gas Natuna. Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan, 17(1), 78. https://doi.org/10.35931/aq.v17i1.1785

Muhaemin, G., & Nugraha, A. E. (2022). Penerapan total productive maintenance (TPM) pada perawatan mesin cutter di PT. XYZ. Jurnal Ilmiah Wahana Pendidikan, 8(9), 205–219. https://doi.org/10.5281/zenodo.6645451

Nakajima, S. (1988). Introduction to total productive maintenance. Productivity Press, Inc.

Nursanti, I., & Susanto, Y. (2014). Analisis perhitungan overall equipment effectiveness (OEE) pada mesin packing untuk meningkatkan nilai availability mesin. Jurnal Ilmiah Teknik Industri, 13(1), 96–102.

Pamungkas, Y. K. P., Umam, R. F., & Setyaningrum, R. (2024). Peningkatan produktivitas departemen vacuum dengan total productive maintenance (TPM) melalui perhitungan overall equipment effectiveness (OEE) dan six big losses mesin CNC vacuum thermoforming Geiss T10 di PT XYZ. Journal of Social Science Research, 4(5), 7351–7363.

Pbzr, F. (2023). 叶昊熙 1 ，苏嘉韵 1 ，钟日健 1 ，蔡（. Jurnal, 8(2), 57–63.

Putra Alamsyah, M. I., Nasution, M. A., & Harahap, R. H. (2021). Analisis sosialisasi politik relawan demokrasi basis warga internet Kota Medan pemilihan umum tahun 2019. Perspektif, 10(1), 65–75. https://doi.org/10.31289/perspektif.v10i1.3923

Risdiyanto, E., & Triana, N. E. (2023). Evaluasi penerapan total productive maintenance pada mesin slitting di perusahaan pipa baja. Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri), 17(3), 296. https://doi.org/10.22441/pasti.2023.v17i3.002

Setiawan, E. (2021). Pemahaman masyarakat tentang penerapan akuntansi pada usaha mikro kecil dan menengah (UMKM). JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi), 12(2), 582.

Sinambela, L. P., & Sinambela, S. (2021). Metodologi penelitian kuantitatif: Teori dan praktik. Depok: Rajawali Pers.

Wahid, A. (2020). Penerapan total productive maintenance (TPM) produksi dengan metode overall equipment effectiveness (OEE) pada proses produksi botol (PT. XY Pandaan – Pasuruan). Jurnal Teknologi dan Manajemen Industri, 6(1), 12–16. https://doi.org/10.36040/jtmi.v6i1.2624

Wibowo, P. A., & Padilah, I. (2023). Analisis overall equipment effectiveness (OEE) dan six big losses pada mesin length adjustment line 3 departemen belt assy PT XYZ. G-Tech: Jurnal Teknologi Terapan, 7(2), 439–449. https://doi.org/10.33379/gtech.v7i2.2236