Perancangan Jadwal Perawatan Mesin Loader di PT Kraton Menggunakan Metode Condition Based Monitoring (CBM)
DOI:
https://doi.org/10.56211/blendsains.v4i2.1031Keywords:
Condition Based Monitoring; Perawatan Preventif; Wheel Loader
Abstract
Penelitian ini bertujuan untuk merancang jadwal perawatan wheel loader di PT Kraton dengan pendekatan Condition Based Monitoring (CBM) dan membandingkan perawatan sebelum dan sesudah menggunakan CBM, yang mengandalkan data kondisi aktual untuk mengidentifikasi kerusakan secara dini. Faktor utama yang diamati meliputi suhu mesin, tekanan oli, serta getaran pada bearing, mesin utama, dan fan. Pengumpulan data dilaksanakan selama 66 hari operasional dan dianalisis melalui uji keseragaman serta kategorisasi kondisi normal, waspada, dan anomaly. Hasil penelitian menunjukkan bahwa metode CBM mampu mengidentifikasi tren kerusakan sebelum terjadi kegagalan, sehingga memungkinkan penyusunan jadwal perawatan yang lebih efisien. Penelitian ini juga menghasilkan perangkat monitoring harian hingga tahunan serta prosedur preventif yang mendukung stabilitas operasi alat berat. Penerapan CBM terbukti dapat mengurangi downtime, mencegah kerusakan fatal, dan meningkatkan umur pakai wheel loader
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References
C. Noble, E. Kokko, I. Darnell, T. Dunn, L. Hagler, and L. Leininger, “Concrete Model Descriptions and Summary of Benchmark Studies for Blast Effects Simulations,” Livermore, CA (United States), Jul. 2005. doi: 10.2172/878628. DOI: https://doi.org/10.2172/878628
C. Baas, “Concrete and Culture: A Material History,” Mater Cult, vol. 47, pp. 90–92, 2015.
T. Watari, Z. Cao, A. C. Serrenho, and J. Cullen, “Growing role of concrete in sand and climate crises,” iScience, vol. 26, no. 5, p. 106782, May 2023, doi: 10.1016/j.isci.2023.106782. DOI: https://doi.org/10.1016/j.isci.2023.106782
A. Derisman, Sarmidi, and Zikri, “EFISIENSI KERJA WHEEL LOADER KOMATSU WA 200-5 DI PABRIK BRIKET TANJUNG ENIM PT. BUKIT ASAM Tb,” Jurnal Surya Teknika, vol. 9, no. 1, pp. 360–364, Jul. 2022, doi: 10.37859/jst.v9i1.3797. DOI: https://doi.org/10.37859/jst.v9i1.3797
W. Biały and J. Ružbarský, “Breakdown Cause and Effect Analysis. Case Study,” Management Systems in Production Engineering, vol. 26, no. 2, pp. 83–87, Jun. 2018, doi: 10.1515/mspe-2018-0013. DOI: https://doi.org/10.1515/mspe-2018-0013
A. Thoha, “TALENTA Conference Series: Energy and Engineering Analisis Total Productivity Maintenance (TPM) Mesin Sterilizer di PT. XYZ dengan Metode Overall Equipment Effectiveness (OEE),” 2024, doi: 10.32734/ee.v7i1.2223.
A. Nurhidayat, S. Putri Lestari, and R. T. Yusnita, “The Effect Of Preventive Maintenance And Breakdown Maintenance On The Smooth Running Of The Production Process (Case studies on CV. Dira Mahakarya Utama of Ciamis Regency Printing),” Journal of Indonesian Management, vol. 2, no. 3, Sep. 2022, doi: 10.53697/jim.v2i3.894. DOI: https://doi.org/10.53697/jim.v2i3.894
A. Ali and A. Abdelhadi, “Condition-Based Monitoring and Maintenance: State of the Art Review,” Applied Sciences, vol. 12, no. 2, p. 688, Jan. 2022, doi: 10.3390/app12020688. DOI: https://doi.org/10.3390/app12020688
Y. Wu, S. Li, S. Liu, H.-S. Dou, and Z. Qian, “Vibration-Based Condition Monitoring,” 2013, pp. 431–477. doi: 10.1007/978-94-007-6422-4_11. DOI: https://doi.org/10.1007/978-94-007-6422-4_11
Y. Arbella-Feliciano, C. A. Trinchet-Varela, L. L. Lorente-Leyva, and D. H. Peluffo-Ordóñez, “Condition Monitoring of Wind Turbines: A Case Study of the Gibara II Wind Farm,” Journal Européen des Systèmes Automatisés, vol. 56, no. 2, pp. 329–335, Apr. 2023, doi: 10.18280/jesa.560218. DOI: https://doi.org/10.18280/jesa.560218
S. Ahmad, K. Styp-Rekowski, S. Nedelkoski, and O. Kao, “Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines,” in 2020 IEEE International Conference on Big Data (Big Data), IEEE, Dec. 2020, pp. 4093–4102. doi: 10.1109/BigData50022.2020.9378015. DOI: https://doi.org/10.1109/BigData50022.2020.9378015
N. Jamil, M. F. Hassan, S. K. Lim, and A. R. Yusoff, “Predictive maintenance for rotating machinery by using vibration analysis,” Journal of Mechanical Engineering and Sciences, vol. 15, no. 3, pp. 8289–8299, Sep. 2021, doi: 10.15282/jmes.15.3.2021.07.0651. DOI: https://doi.org/10.15282/jmes.15.3.2021.07.0651
S. W. J. Choong et al., “A Preliminary Study on Ergonomic Contribution to the Engineering Design Approach of a Wheel Loader Control Lever System,” Sustainability, vol. 14, no. 1, p. 122, Dec. 2021, doi: 10.3390/su14010122. DOI: https://doi.org/10.3390/su14010122
P. Tan et al., “Investigating the matching characteristic of the full hydraulic braking system of the wheel loader,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 44, no. 5, p. 209, May 2022, doi: 10.1007/s40430-022-03452-8. DOI: https://doi.org/10.1007/s40430-022-03452-8
I. M. Jamadar, S. A. I. Bellary, R. A. Kanai, and A. A. Alrobaian, “Model-Based Condition Monitoring for the Detection of Failure of a Ball Bearing in a Centrifugal Pump,” Journal of Failure Analysis and Prevention, vol. 19, no. 6, pp. 1556–1568, Dec. 2019, doi: 10.1007/s11668-019-00792-x. DOI: https://doi.org/10.1007/s11668-019-00792-x
W. A. Hyman, “The Theory and Practice of Preventive Maintenance,” J Clin Eng, vol. 28, no. 1, pp. 31–36, Jan. 2003, doi: 10.1097/00004669-200301000-00037. DOI: https://doi.org/10.1097/00004669-200301000-00037
D. Galar, L. Pilar, and B. Luis, “Application of dynamic benchmarking of rotating machinery for e-maintenance,” International Journal of System Assurance Engineering and Management, vol. 1, no. 3, pp. 246–262, Sep. 2010, doi: 10.1007/s13198-011-0041-1. DOI: https://doi.org/10.1007/s13198-011-0041-1
R. M. Barnes, Motion and Time Study Design and Measurement of Work, 7th ed. Wiley&Sons, 1991.
I. U. Hassan, K. Panduru, and J. Walsh, “An In-Depth Study of Vibration Sensors for Condition Monitoring,” Sensors, vol. 24, no. 3, p. 740, Jan. 2024, doi: 10.3390/s24030740. DOI: https://doi.org/10.3390/s24030740
S. Ye, B. Da, L. Qi, H. Xiao, and S. Li, “Condition Monitoring of Marine Diesel Lubrication System Based on an Optimized Random Singular Value Decomposition Model,” Machines, vol. 13, no. 1, p. 7, Dec. 2024, doi: 10.3390/machines13010007. DOI: https://doi.org/10.3390/machines13010007
R. Euldji et al., “Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making,” Open Physics, vol. 21, no. 1, Jun. 2023, doi: 10.1515/phys-2022-0239. DOI: https://doi.org/10.1515/phys-2022-0239
J. Kumar, K. K. Kataria, and S. Luthra, “Quality Circle: A Methodology to Enhance the Plant Capacity through Why-Why Analysis,” International Journal of Mathematical, Engineering and Management Sciences, vol. 5, no. 3, pp. 463–472, Jun. 2020, doi: 10.33889/IJMEMS.2020.5.3.038. DOI: https://doi.org/10.33889/IJMEMS.2020.5.3.038
I. A. V Damanik, R. D. Rumbara, and N. Juhana, “Online monitoring for processes and condition of a machine using smart management card,” IOP Conf Ser Mater Sci Eng, vol. 980, no. 1, p. 012047, Dec. 2020, doi: 10.1088/1757-899X/980/1/012047. DOI: https://doi.org/10.1088/1757-899X/980/1/012047
A. Morris, D. Baglee, and M. Knowles, “Using Energy Consumption Profiles as an Indicator of Equipment Condition,” 2020, pp. 1317–1330. doi: 10.1007/978-3-030-57745-2_109. DOI: https://doi.org/10.1007/978-3-030-57745-2_109
J. Veldman, W. Klingenberg, and H. Wortmann, “Managing condition‐based maintenance technology,” J Qual Maint Eng, vol. 17, no. 1, pp. 40–62, Mar. 2011, doi: 10.1108/13552511111116240. DOI: https://doi.org/10.1108/13552511111116240
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