Optimasi Design for Maintainability Sistem Perpipaan pada Tahap FEED Menggunakan SmartPlant 3D dan FMEA
DOI:
https://doi.org/10.55123/storage.v5i3.8102Keywords:
FEED, FMEA Maintainability, Maintenance, SP3DAbstract
Maintainability merupakan parameter penting dalam sistem perpipaan industri proses karena berpengaruh langsung terhadap waktu perbaikan dan ketersediaan sistem. Penelitian ini bertujuan mengoptimalkan maintainability sistem perpipaan pada tahap Front-End Engineering Design (FEED) dengan mengintegrasikan SP3D dengan FMEA secara kuantitatif pada tahap FEED yang berbeda dengan studi sebelumnya yang lebih fokus pada validasi konstruksi atau predictive maintainability pasca konstruksi. Analisis dilakukan dengan mengidentifikasi mode kegagalan kritis, menghitung nilai Risk Priority Number (RPN), serta mengevaluasi maintainability clearance dan estimasi Mean Time to Repair (MTTR) dengan memberikan data kuantitatif untuk desain awal yang memengaruhi MTTR dan availability. Hasil menunjukkan bahwa optimasi tata letak berbasis SP3D meningkatkan clearance dari 797,5 mm menjadi 1137,5 mm (42,63%). Implementasi perbaikan desain menurunkan nilai RPN rata-rata lebih dari 50% dan menurunkan MTTR dari 7,92 jam menjadi 5,95 jam (24,84%). Penurunan MTTR berdampak pada peningkatan availability sistem mengurangi risiko kegagalan dan biaya modifikasi setelah konstruksi. Hasil penelitian membuktikan bahwa integrasi SP3D dan FMEA pada tahap FEED efektif dalam mendukung implementasi Design for Maintainability pada sistem perpipaan industri.
Downloads
References
Chuka Anthony Arinze et al. (2024) “Predictive maintenance in oil and gas facilities, leveraging ai for asset integrity management,” International Journal of Frontiers in Engineering and Technology Research, 6(1), pp. 016–026. Available at: https://doi.org/10.53294/ijfetr.2024.6.1.0026.
Ding, Y. et al. (2024) Supporting Information for A theoretical framework for random acceleration molecular dynamics simulations.
Dzulfikar, T. and Widiasih, W. (2024) “Hazard Risk Analysis and Cathodic Maintenance Timing With Total Producvtive Maintenance Approach,” PROZIMA (Productivity, Optimization and Manufacturing System Engineering), 8(1), pp. 60–69. Available at: https://doi.org/10.21070/prozima.v8i1.1687.
Gomaa, A.H. (2025) “Enhancing Failure Mode and Effects Analysis with Industry 4.0 (FMEA 4.0): A Comprehensive Review and Strategic Framework,” International Journal of Darshan Institute on Engineering Research and Emerging Technologies, 14(2), pp. 21–32. Available at: https://doi.org/10.32692/IJDI-ERET/14.2.2025.2504.
Hanson, E. et al. (2024) Risk-Based Maintenance and Inspection in Energy Infrastructure: Future Lessons for Safety and Efficiency, International Journal Of Engineering Research And Development. Available at: www.ijerd.com.
Kang, D.H. et al. (2024) “Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications,” Sustainability (Switzerland) , 16(7). Available at: https://doi.org/10.3390/su16072770.
Nzubechukwu Chukwudum Ohalete et al. (2023) “Advancements in predictive maintenance in the oil and gas industry: A review of AI and data science applications,” World Journal of Advanced Research and Reviews, 20(3), pp. 167–181. Available at: https://doi.org/10.30574/wjarr.2023.20.3.2432.
Samudera, M.C. (2025) IMPLEMENTASI RELIABILITY CENTERED MAINTENANCE.
Sanusi, A., Yusuf, I. and Lawan, Z.D. (2024) “Risk Assessment and Management Decisions A Comparative Study of Hybrid Systems Using Reliability, Availability, Maintainability, and Dependability Analysis Citation,” Risk. Assess. Man. Dec, 1(1), pp. 75–87. Available at: https://doi.org/10.22105/SA.2021.281500.1061.
Shalihin, A., Sari, D.K. and Nasution, H. (2025) “Analyzing Failure Risks in Clean Water Distribution Networks Using the Failure Mode and Effect Analysis (FMEA),” Airlangga Journal of Innovation Management, 6(2), pp. 219–231. Available at: https://doi.org/10.20473/ajim.v6i2.72310.
Wiranaka, J., Andesta, D. and Dhartikasari, E. (2025) “Analysis of Potential Damage to Hydrotester Machines Using FMEA and FTA Methods at PT. ISP to Improve Maintenance Reliability,” G-Tech: Jurnal Teknologi Terapan, 9(4), pp. 1966–1978. Available at: https://doi.org/10.70609/g-tech.v9i4.8044.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Dewi Rahmawati, Harun Indra Kusuma, Rahmad Hendri, Erian Sutantio, Indila Mayrosa, Fian Maulana Sidik
This work is licensed under a Creative Commons Attribution 4.0 International License.
