Perencanaan Perawatan Mesin Electrolytic Tinning Line Menggunakan Metode Risk Based Maintenance
Abstract
Mesin Electrolytic Tinning Line adalah mesin yang penting dalam produksi tinplate, yang merupakan bahan dasar untuk membuat kaleng makanan dan minuman. Dalam proses produksinya, mesin ini mengalami downtime sehingga berpengaruh pada proses produksi tinplate. Penelitian ini bertujuan mengidentifikasi risiko kegagalan menggunakan Risk Based Maintenance (RBM) dan merekomendasikan sistem pemeliharaan berdasarkan hasil Fault Tree Analysis (FTA). RBM digunakan menentukan tingkat kerusakan pada mesin produksi. FTA dapat memprediksi probabilitas kegagalan dan mengidentifikasi sebab akar kegagalan secara sistematis. Penelitian ini menggunakan data proses produksi selama tahun 2020. Berdasarkan hasil dari identifikasi risiko menggunakan RBM diperoleh hasil bahwa abration dan dent merupakan dua jenis kegagalan yang menjadi prioritas dan termasuk kategori catastrophic dengan nilai RPN sebesar 648 dan 512 . Hasil identifikasi menggunakan FTA diketahui bahwa penyebab defect abration adalah pada proses pickling section dan tin plating section. Penyebab defect dent yaitu pada mesin yaitu pada proses exit section dan exit loop tower. Rekomendasi perbaikan adalah dengan memperbaiki proses pemeriksaan dan perawatan rutin. Langkah lainnya adalah melakukan sistem monitoring menggunakan sensor sehingga dapat menampilkan informasi secara real-time. Sistem ini mempermudah tindak lanjut pemeliharaan sesuai dengan permasalahan yang terdeteksi.
Downloads
References
[2] N. S. Arunraj and J. Maiti, ‘Risk-based maintenance—Techniques and applications’, J. Hazard. Mater., vol. 142, no. 3, pp. 653–661, 2007, doi: https://doi.org/10.1016/j.jhazmat.2006.06.069.
[3] J. Cullum, J. Binns, M. Lonsdale, R. Abbassi, and V. Garaniya, ‘Risk-Based Maintenance Scheduling with application to naval vessels and ships’, Ocean Eng., vol. 148, pp. 476–485, 2018, doi: https://doi.org/10.1016/j.oceaneng.2017.11.044.
[4] H. Hu, G. Cheng, Y. Li, and Y. Tang, ‘Risk-based maintenance strategy and its applications in a petrochemical reforming reaction system’, J. Loss Prev. Process Ind., vol. 22, no. 4, pp. 392–397, 2009, doi: https://doi.org/10.1016/j.jlp.2009.02.001.
[5] S. Kiran, K. P. Prajeeth Kumar, B. Sreejith, and M. Muralidharan, ‘Reliability Evaluation and Risk Based Maintenance in a Process Plant’, Procedia Technol., vol. 24, pp. 576–583, 2016, doi: https://doi.org/10.1016/j.protcy.2016.05.117.
[6] E. Arzaghi, M. M. Abaei, R. Abbassi, V. Garaniya, C. Chin, and F. Khan, ‘Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring’, Eng. Fail. Anal., vol. 79, pp. 928–939, 2017, doi: https://doi.org/10.1016/j.engfailanal.2017.06.003.
[7] Y. Garbatov and C. Guedes Soares, ‘Cost and reliability based strategies for fatigue maintenance planning of floating structures’, Reliab. Eng. Syst. Saf., vol. 73, no. 3, pp. 293–301, 2001, doi: https://doi.org/10.1016/S0951-8320(01)00059-X.
[8] E. Özcan, R. Yumuşak, and T. Eren, ‘Risk Based Maintenance in the Hydroelectric Power Plants’, Energies, vol. 12, no. 8. 2019, doi: 10.3390/en12081502.
[9] L. Krishnasamy, F. Khan, and M. Haddara, ‘Development of a risk-based maintenance (RBM) strategy for a power-generating plant’, J. Loss Prev. Process Ind., vol. 18, no. 2, pp. 69–81, 2005, doi: https://doi.org/10.1016/j.jlp.2005.01.002.
[10] A. Maharani, I. Wahyuli, S. Supriyadi, A. Nalhadi, and F. Fathurohman, ‘Analisa Biaya Perawatan Sistem Pneumatic dengan Menggunakan Metode Risk Based Maintenance dan Cost of Unreliability’, J. Inov. dan Kreat., vol. 2, no. 1, pp. 10–19, Feb. 2022, doi: 10.30656/jika.v2i1.4722.
[11] N. Aluna, J. Alhilman, and F. T. D. Atmaji, ‘Analisis Perawatan Mesin Filling R125 Menggunakan Metode Risk Based Maintenance (RBM) pada Plant Large Volume Parenteral (LVP) PT XYZ’, in Prosiding Seminar Rekayasa Teknologi (SemResTek), 2018, pp. 567–574, [Online]. Available: https://teknik.univpancasila.ac.id/semrestek/2018/assets/proceedings/sm/SEMRESTEK2018_paper_28.pdf.
[12] S. Bintarum, J. Alhilman, and N. A. Supratman, ‘Usulan Interval Waktu Perawatan Dan Penilaian Biaya Ketidakandalan Excavator Kobelco Sk200 Menggunakan Metode Risk Based Maintenance (rbm) Dan Cost Of Unreliability (cour) Di Po Rajawali Project’, eProceedings Eng., vol. 5, no. 2, pp. 2926–2933, 2018, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/6991.
[13] J. Kang, L. Sun, and C. Guedes Soares, ‘Fault Tree Analysis of floating offshore wind turbines’, Renew. Energy, vol. 133, pp. 1455–1467, 2019, doi: https://doi.org/10.1016/j.renene.2018.08.097.
[14] S. Kabir, ‘An overview of fault tree analysis and its application in model based dependability analysis’, Expert Syst. Appl., vol. 77, pp. 114–135, 2017, doi: https://doi.org/10.1016/j.eswa.2017.01.058.
[15] F. I. Khan and M. Haddara, ‘Risk-based maintenance (RBM): A new approach for process plant inspection and maintenance’, Process Saf. Prog., vol. 23, no. 4, pp. 252–265, Dec. 2004, doi: https://doi.org/10.1002/prs.10010.
[16] A. Bastian, F. T. D. Atmaji, and A. Pamoso, ‘Usulan Kebijakan Perawatan Berdasarkan Risiko Dan Evaluasi Keandalan Untuk Penjadwalan Perawatan Pada Mesin Escher Wyss Di PT. Kertas Padalarang’, eProceedings Eng., vol. 6, no. 2, pp. 1–13, 2019, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/10961.
[17] F. I. Khan and M. M. Haddara, ‘Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning’, J. Loss Prev. Process Ind., vol. 16, no. 6, pp. 561–573, 2003, doi: https://doi.org/10.1016/j.jlp.2003.08.011.
[18] S. Sakai, ‘Risk-based maintenance’, JR East Tech. Rev., vol. 17, pp. 1–4, 2010, [Online]. Available: http://www.jreast.co.jp/e/development/tech/pdf_17/Tec-17-01-04eng.pdf.
[19] L. Zhi-yong and J. Xisheng, ‘Research on Equipment Maintenance Decision Mode based on RBM’, in 2012 International Conference on Industrial Control and Electronics Engineering, 2012, pp. 236–239, doi: 10.1109/ICICEE.2012.69.
[20] Y. E. Senol, Y. V. Aydogdu, B. Sahin, and I. Kilic, ‘Fault Tree Analysis of chemical cargo contamination by using fuzzy approach’, Expert Syst. Appl., vol. 42, no. 12, pp. 5232–5244, 2015, doi: https://doi.org/10.1016/j.eswa.2015.02.027.
[21] A. H. A. Melani, C. A. Murad, A. Caminada Netto, G. F. M. de Souza, and S. I. Nabeta, ‘Criticality-based maintenance of a coal-fired power plant’, Energy, vol. 147, pp. 767–781, 2018, doi: https://doi.org/10.1016/j.energy.2018.01.048.
[22] S. B. Marpaung, D. A. A. Ritonga, and A. Irwan, ‘Analisa Risk Priority Number (RPN) Terhadap Keandalan Komponen Mesin Thresher dengan Menggunakan Metode FMEA Di PT. XYZ’, JiTEKH, vol. 9, no. 2, pp. 74–81, Sep. 2021, doi: 10.35447/jitekh.v9i2.427.
[23] M. I. Pasaribu, D. A. A. Ritonga, and A. Irwan, ‘Analisis Perawatan (Maintenance) Mesin Screw Press di Pabrik Kelapa Sawit dengan Metode Failure Mode And Effect Analysis (FMEA) di PT. XYZ’, JITEKH, vol. 9, no. 2, pp. 104–110, Oct. 2021, doi: 10.35447/jitekh.v9i2.432.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.