Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 11 No. 4 (2026): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

Analisis dan Usulan Perawatan Pompa Booster Propylene Menggunakan Failure Mode and Effect Analysis (FMEA) di PT. XX

DOI:
https://doi.cibangsa.org/DOI-2026-197
Submitted
September 15, 2026
Published
2026-09-15

Abstract

Keandalan sistem pompa booster feed propylene penting untuk menjaga kontinuitas suplai bahan baku pada proses produksi polypropylene. Penelitian ini bertujuan menentukan gangguan prioritas, menilai risiko kegagalan, mengidentifikasi faktor penyebab, dan menyusun usulan perawatan pada P-300A, P-300B, dan P-300C. Data historis gangguan periode 2023–2025 dianalisis menggunakan diagram Pareto berbasis unplanned maintenance downtime, kemudian gangguan prioritas dinilai dengan Failure Mode and Effect Analysis (FMEA). Faktor penyebab diidentifikasi melalui wawancara, observasi, dan Fishbone Diagram 6M, sedangkan usulan perawatan disusun melalui evaluasi maintenance existing dan analisis 5W1H. Sebanyak 12 responden yang terdiri atas operator, teknisi maintenance, dan engineering memberikan penilaian Severity, Occurrence, dan Detection pada skala 1–10. Hasil menunjukkan 24 kejadian gangguan dengan total 200 jam unplanned maintenance downtime. Empat gangguan menyumbang 170 jam atau 85% downtime, yaitu vibrasi berlebih, temperatur motor tinggi, kebocoran mechanical seal, dan kebocoran fluida propylene. RPN tertinggi adalah vibrasi berlebih sebesar 314,82, diikuti kebocoran fluida propylene 237,82, kebocoran mechanical seal 231,90, dan temperatur motor tinggi 201,44. Usulan utama meliputi vibration monitoring mingguan, routine cleaning impeller saat pembongkaran, penguatan inspeksi sistem sealing, dan penyesuaian interval pelumasan bearing dari tiga bulan menjadi satu bulan.

References

  1. [1] L. Chen, L. Wei, Y. Wang, J. Wang, and W. Li, “Monitoring and predictive maintenance of centrifugal pumps based on smart sensors,” Sensors, vol. 22, no. 6, 2022, doi: 10.3390/s22062106.
  2. [2] A. Eaton, W. H. Ahmed, and M. Hassan, “Evaluating the performance degradation of centrifugal pumps using the principal component analysis,” Journal of Pressure Vessel Technology, vol. 144, no. 2, 2022, doi: 10.1115/1.4052522.
  3. [3] L. Ouyang, “Survey of FMEA methods with improvement on performance inconsistency,” Quality and Reliability Engineering International, 2022, doi: 10.1002/qre.3059.
  4. [4] Y. Liu and Y. Tang, “Managing uncertainty of expert’s assessment in FMEA with the belief divergence measure,” Scientific Reports, vol. 12, 6812, 2022, doi: 10.1038/s41598-022-10828-2.
  5. [5] O. M. Testik and E. T. Unlu, “Fuzzy FMEA in risk assessment for test and calibration laboratories,” Quality and Reliability Engineering International, vol. 39, no. 2, pp. 575–589, 2023, doi: 10.1002/qre.3198.
  6. [6] Q. Shi, Y. Hu, and G. Yan, “A novel FMEA approach based on probabilistic linguistic best-worst method and TOPSIS with application to marine diesel fuel injection system,” Journal of Intelligent & Fuzzy Systems, vol. 45, no. 3, pp. 3835–3854, 2023, doi: 10.3233/JIFS-230870.
  7. [7] G. Kharmanda, J. Shao, H. Al Sakkaf, F. Bouretoua, and B. Almahrji, “An overview of reliability centered maintenance using failure mode and effect analysis,” Incertitudes et fiabilité des systèmes multiphysiques, vol. 7, no. 2, 2023, doi: 10.21494/ISTE.OP.2023.1045.
  8. [8] V. Sisodia, D. Ganesan, S. Salunkhe, R. Čep, and E. Abouel Nasr, “Failure mode identification and effects analysis of mobile X-ray machine using selected MADM techniques,” Scientific Reports, vol. 15, 24534, 2025, doi: 10.1038/s41598-025-09518-6.
  9. [9] W. Song and J. Zheng, “A new approach to risk assessment in failure mode and effect analysis based on engineering textual data,” Quality Engineering, vol. 36, no. 4, pp. 805–823, 2024, doi: 10.1080/08982112.2024.2304815.
  10. [10] N. Firdaus and H. Ab-Samat, “Maintenance strategies and energy efficiency: A review,” Journal of Quality in Maintenance Engineering, vol. 29, no. 3, pp. 640–665, 2023.
  11. [11] D. Sanchez-Londono, G. Barbieri, and L. Fumagalli, “Smart retrofitting in maintenance: A systematic literature review,” Journal of Intelligent Manufacturing, vol. 34, no. 1, pp. 1–19, 2023, doi: 10.1007/s10845-022-02002-2.
  12. [12] K. Antosz, M. Jasiulewicz-Kaczmarek, R. Waszkowski, and J. Machado, “Application of Lean Six Sigma for sustainable maintenance: Case study,” IFAC-PapersOnLine, vol. 55, pp. 181–186, 2022.
  13. [13] P. H. Tsarouhas and T. Varzakas, “An analytical approach of overall equipment effectiveness on a traditional Greek feta-cheese production line,” International Journal of Productivity and Quality Management, vol. 36, no. 4, pp. 459–477, 2022, doi: 10.1504/IJPQM.2022.124903.
  14. [14] American Petroleum Institute, API Standard 610: Centrifugal Pumps for Petroleum, Petrochemical and Natural Gas Industries, 12th ed. Washington, DC, USA: API, 2021.
  15. [15] American Petroleum Institute, API Standard 682: Pumps—Shaft Sealing Systems for Centrifugal and Rotary Pumps, 4th ed. Washington, DC, USA: API, 2022.

Similar Articles

1-10 of 39

You may also start an advanced similarity search for this article.