Wibowo, Yudhistira (2025) Evaluasi Manajemen Perawatan Pada Air Compressor Menggunakan Metode Failure Mode Effect Critically Analysis ( FMECA ) Di Industri Eksplorasi Produksi Minyak Dan Gas. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Air compressor merupakan komponen vital dalam mendukung proses produksi di industri eksplorasi minyak dan gas. Kegagalan pada komponen ini dapat mengakibatkan downtime yang signifikan dan kerugian operasional. Penelitian ini bertujuan untuk mengevaluasi manajemen perawatan air compressor K-1401 dengan metode failure mode effect and criticality analysis (FMECA) guna mengidentifikasi komponen kritis, menentukan interval perawatan optimal, serta meningkatkan keandalan sistem. Hasil FMECA menunjukkan bahwa komponen aftercooler tube element merupakan bagian paling kritis dengan nilai risk priority number (RPN) sebesar 192. Data historis time to failure (TTF) dan time to repair (TTR) dianalisis menggunakan perangkat lunak Minitab untuk memperoleh distribusi terbaik, yaitu lognormal, dengan nilai MTTF sebesar 1589,78 jam dan MTTR sebesar 10,64 jam. Hasil pendekatan Age Replacement, diperoleh waktu optimal penggantian komponen secara preventif pada interval 1248 jam. Pemodelan parameter variabel proses menggunakan air discharge pressure menunjukkan bahwa deteksi anomali sebanyak 92 dapat dijadikan indikator awal perlunya perawatan. Strategi perawatan berbasis data ini terbukti efektif dalam menurunkan risiko kegagalan dan pergantian komponen saat nilai reliability 65%.
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The air compressor is a vital component in supporting production processes in the oil and gas exploration industry. Failure of this component can lead to significant downtime and operational losses. This study aims to evaluate the maintenance management of air compressor K-1401 using the Failure Mode, Effect, and Criticality Analysis (FMECA) method to identify critical components, determine optimal maintenance intervals, and improve system reliability. FMECA results indicate that the aftercooler tube element is the most critical component, with a Risk Priority Number (RPN) of 192. Historical data on Time to Failure (TTF) and Time to Repair (TTR) were analyzed using Minitab software to determine the best distribution, which was found to be lognormal, with a Mean Time to Failure (MTTF) of 1589.78 hours and a Mean Time to Repair (MTTR) of 10.64 hours. Using the Age Replacement approach, the optimal preventive replacement interval was determined to be 1248 hours. Modeling of process variable parameters using air discharge pressure detected 92 anomalies, which can serve as early indicators for maintenance needs. This data-driven maintenance strategy has proven effective in reducing the risk of failure and component replacement when the system reliability reaches 65%.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Air Compressor, Maintenance, Age Replacement, Reliability Air Compressor, Maintenance, Replacement, Reliability |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA169 Reliability (Engineering) |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Yudhistira Wibowo |
| Date Deposited: | 04 Aug 2025 12:26 |
| Last Modified: | 04 Aug 2025 12:26 |
| URI: | http://repository.its.ac.id/id/eprint/125117 |
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