USULAN PERAWATAN AREA CUTTING UNIT MESIN TUBER T-645M KAPASITAS 5000 KANTONG/HARI DENGAN PENDEKATAN FMEA

Authors

  • Fina Andika Frida Astuti Politeknik Negeri Malang, Indonesia
  • Arif Rochman Fachrudin Politeknik Negeri Malang, Indonesia

DOI:

https://doi.org/10.23969/jp.v11i02.57781

Keywords:

Cutting unit, downtime, FMEA, preventive maintenance, tuber machine

Abstract

The Tuber T-645M machine is utilized in the production of cement bags made from kraft paper (pasted bags), converting paper rolls into semi-finished tubular forms (tubes). The Tuber machine consists of several operational sections, one of which is the Cutting Unit area. The Cutting Unit is responsible for cutting the continuously formed tubes produced by the Tube Forming Unit into predetermined lengths. Currently, the Cutting Unit does not have a scheduled component replacement program; therefore, components are replaced only after failure occurs. This condition leads to excessive machine downtime and disrupts the production process. This study aims to identify critical components and propose an appropriate maintenance strategy for the Tuber machine. The research employs the Failure Mode and Effects Analysis (FMEA) method to evaluate potential failure modes and their impacts. Based on the Risk Priority Number (RPN) analysis, four critical components were identified as the primary contributors to machine downtime, namely the differential gear, bearing, tear-off mechanism, and cam roller. The proposed maintenance strategy for the Cutting Unit of the Tuber T-645M machine is preventive maintenance, consisting of 28 scheduled component replacements and 38 maintenance activities to improve machine reliability and reduce downtime.

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References

Alamri, T. O., & Mo, J. P. T. (2022). Failure Mode Structured Preventive Maintenance Scheduling With Changing Failure Rates in Industry 4.0 Environment. Frontiers in Manufacturing Technology, 2(March), 1–17. https://doi.org/10.3389/fmtec.2022.828986

Aleksić, A., Tadić, D., Komatina, N., & Nestić, S. (2025). Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review. Mathematics, 13(13), 1–38. https://doi.org/10.3390/math13132216

Alfionita, S., & Alifin, F. I. (2023). Preventive Maintenance Analysis Based on Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR). Angkasa: Jurnal Ilmiah Bidang Teknologi, 15(2), 201. https://doi.org/10.28989/angkasa.v15i2.1833

Filz, M. A., Langner, J. E. B., Herrmann, C., & Thiede, S. (2021). Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning. Computers in Industry, 129. https://doi.org/10.1016/j.compind.2021.103451

Hagedorn, C., Huegle, J., & Schlosser, R. (2022). Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning. Journal of Intelligent Manufacturing, 33(7), 2027–2043. https://doi.org/10.1007/s10845-022-01952-x

Kharmanda, G., Shao, J., Al Sakkaf, H., Bouretoua, F., & Almahrji, B. (2023). An overview of reliability centered maintenance using failure mode and effect analysis. Incertitudes et fiabilité des systèmes multiphysiques, 7(2), 1–18. https://doi.org/10.21494/iste.op.2023.1045

Qurnaini, K., & Rauf, N. (2026). Evaluasi Komponen Kritis dan Penentuan Strategi Pemeliharaan Berbasis Failure Mode and Effects Analysis ( FMEA ) - Reliability Centered Maintenance ( RCM ) Untuk Mengurangi Downtime Pada Penyulang Cempa. 34–42.

Zhang, T., Qing, C., & Yu, N. (2022). Research and application of reliability-based cost optimization method for constant interval preventive maintenance. MATEC Web of Conferences, 355, 02027. https://doi.org/10.1051/matecconf/202235502027

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Published

2026-06-30