Implementasi Condition Based Maintenance (CBM) Pada Mesin Pasah Kayu Modern Terhadap Peningkatan Kualitas Produk Furniture Di UD Mitra Usaha Ngunut Tulungagung

Muhammad Rizki Wahyu  Saputra; Yeni Roha  Mahariani

doi:10.62048/qjms.v3i1.126

Authors

Muhammad Rizki Wahyu Saputra Program Studi Teknik Industri, Universitas Bhinneka PGRI, Tulungagung, Indonesia
Yeni Roha Mahariani Program Studi Teknik Industri, Universitas Bhinneka PGRI, Tulungagung, Indonesia

DOI:

https://doi.org/10.62048/qjms.v3i1.126

Keywords:

Condition Based Maintenance, preventive maintenance, quality control, modern wood cutting machines, furniture

Abstract

Small and medium-sized furniture industries rely heavily on the reliability of production machinery to maintain consistent product quality and ensure smooth manufacturing processes. However, maintenance practices in the SME sector are still predominantly reactive, which can increase downtime, reduce product quality, and accelerate component wear. This study aims to analyze the implementation of Condition-Based Maintenance (CBM) on modern wood planing machines at UD Mitra Usaha Ngunut, Tulungagung, through monitoring of temperature, vibration, and noise parameters. A case study approach was employed using observation, interviews, and documentation analysis. The results indicate that CBM implementation significantly extended component service life, as evidenced by an increase in planer blade lifespan from an average of 6 months to 8–9 months (33–50%), carbon brush lifespan by 25–30%, and armature, bearing, and fan belt lifespan by 20–40%, depending on operating conditions. In addition, CBM reduced average operating temperature by 8–12%, decreased vibration intensity by up to 30%, and maintained noise levels within safe limits. CBM implementation was also shown to reduce production downtime by up to 35% and improve maintenance cost efficiency. These findings demonstrate that CBM is effective in enhancing machine reliability and furniture product quality in small and medium-sized industries.

References

Azizah, F. N., & Rinaldi, D. N. (2022). Effort to improve overall equipment effectiveness performance with six big losses analysis in the packaging industry PT BMJ. IJIEM: Indonesian Journal of Industrial Engineering and Management, 3(1), 26–34. https://doi.org/10.22441/ijiem.v3i1.13508

dos Santos, A., Armanu, Setiawan, M., & Rofiq, A. (2020). Effect of recruitment, selection and organizational culture on state personnel performance. Management Science Letters, 10(6), 1179–1186. https://doi.org/10.5267/j.msl.2019.11.042

Ghozali, Garside, A. K., & Wardana, R. W. (2023). Usulan perawatan mesin dengan menggunakan metode modularity design pada PT Varia Usaha Beton. Jurnal Teknik Industri, 13(1), 62–68. https://doi.org/10.25105/jti.v13i1.17515

Hartman, B., Kamal, D. M., & Zainuri, F. (2025). Optimasi efisiensi perawatan air conditioning tipe split dengan penerapan pembersih filter otomatis berbasis condition-based maintenance. Infotek Mesin, 16(1), 99–106. https://doi.org/10.35970/infotekmesin.v16i1.2513

Hu, C., Fan, H., & Wang, Z. (2021). Residual life prediction and optimal maintenance decision for a piece of equipment. Springer.

Ingemarsdotter, E., Kambanou, M. L., Jamsin, E., Sakao, T., & Balkenende, R. (2021). Challenges and solutions in condition-based maintenance implementation: A multiple case study. Journal of Cleaner Production, 296, Article 126420. https://doi.org/10.1016/j.jclepro.2021.126420

Izza, A., & Retnowati, D. (2021). Analisis kualitas produk furniture dengan pendekatan metode Six Sigma. Heuristic, 18(2), 59–72. https://doi.org/10.30996/heuristic.v18i2.6149

Koerniawan, Y., & Wahyu, A. (2024). Literature review: Condition-based maintenance in manufacture industry. Jurnal Teknik Industri Terintegrasi, 7(4), 2288–2297. https://doi.org/10.31004/jutin.v7i4.34377

Ponda, H., Fatma, N. F., & Siswantoro, I. (2022). Usulan penerapan lean manufacturing dengan metode value stream mapping (VSM) dalam meminimalkan waste pada proses produksi ban motor. Heuristic, 19(1), 23–42. https://doi.org/10.30996/heuristic.v19i1.6568

Putra, G. M. P., & Irawan, A. (2020). Analisis pemeliharaan preventif AC package pada gerbong kereta penumpang K1 di Depo 2 Gerbong Kereta Bandung. GEMA: Jurnal Gentiaras Manajemen dan Akuntansi, 12(1), 48–59. https://doi.org/10.47768/gema.v12i1.204

Rastegari, A., Archenti, A., & Mobin, M. (2017). Condition-based maintenance of machine tools: Vibration monitoring of spindle units. In Proceedings of the 2017 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1–6). IEEE. https://doi.org/10.1109/RAM.2017.7889683

Rudiana, I. F., Nursolih, E., & Yulia, L. (2024). Analisis pemeliharaan mesin produksi dengan metode reliability centered maintenance (RCM) pada PT Surya Agrolika Reksa. Jurnal Industrial Galuh, 6(2), 65–74. https://doi.org/10.25157/jig.v6i2.4079

Sharma, J., Mittal, M. L., & Soni, G. (2024). Condition-based maintenance using machine learning and role of interpretability: A review. International Journal of System Assurance Engineering and Management, 15(4), 1345–1360. https://doi.org/10.1007/s13198-022-01843-7

Sodikin, I., Parwati, C. I., Fayzi, F., & Indrayana, M. (2024). Penjadwalan perawatan mesin dengan metode preventive maintenance dan predictive maintenance (studi kasus di PLTD Kota Masohi). Jurnal Tekstil: Jurnal Keilmuan dan Aplikasi Bidang Tekstil dan Manajemen Industri, 7(1), 37–46. https://doi.org/10.59432/jute.v7i1.88

Susilawati, S. (2020). Analisis preventive maintenance pada mesin produksi dengan metode fuzzy FMEA. JTT (Jurnal Teknologi Terpadu), 8(1), 13–20. https://doi.org/10.32487/jtt.v8i1.766

Teixeira, H. N., Lopes, I., & Braga, A. C. (2020). Condition-based maintenance implementation: A literature review. Procedia Manufacturing, 51, 228–235. https://doi.org/10.1016/j.promfg.2020.10.033