Model Pengadaan Material M.R.O pada Sektor Hulu Migas dengan Pendekatan Mitigasi Risiko
DOI:
https://doi.org/10.36275/jy8cxn60Keywords:
Pengadaan, Mitigasi, Risiko, FMEA, AHPAbstract
PT. ABC merupakan perusahaan Badan Usaha Milik Negara yang bergerak pada sektor hulu minyak dan gas. Penelitian ini bertujuan untuk mengidentifikasi dan mengevaluasi risiko dalam proses pengadaan material di PT. ABC, khususnya dalam mendukung kegiatan operasional hulu migas. Metode yang digunakan adalah Failure Mode and Effect Analysis (FMEA) untuk mengukur risiko berdasarkan tingkat keparahan, kemungkinan, dan deteksi, serta Analytical Hierarchy Process (AHP) untuk menentukan prioritas risiko secara kuantitatif. Hasil analisis menunjukkan bahwa terdapat beberapa risiko dengan nilai RPN (Risk Priority Number) tertinggi yang memerlukan mitigasi segera. Dengan menggabungkan metode FMEA dan AHP didapatkan hasil akhir tiga kriteria risiko dengan Weighted Risk Priority Number tertinggi dari total keseluruhan 27 kriteria risiko. Tiga Kriteria risiko dengan WRPN ini yaitu Keterlambatan penandatanganan karena negosiasi ulang yang tidak direncanakan(16,437), Isi kontrak tidak sesuai dengan hasil penawaran yang disetujui(14,790), dan Pengumuman tidak menjangkau semua calon penyedia (kurangnya transparansi)(13,692). Penelitian ini memberikan strategi mitigasi risiko yang lebih objektif dan terstruktur guna meningkatkan efisiensi dan ketahanan proses pengadaan material
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References
Aydin, N., Seker, S., & cSen, C. (2022). A new risk assessment framework for safety in oil and gas industry: Application of FMEA and BWM based picture fuzzy MABAC. Journal of Petroleum Science and Engineering, 219, 111059. https://doi.org/10.1016/j.petrol.2022.111059
Aydin, Nezir, Sukran Seker, and Ceyda Şen. "A new risk assessment framework for safety in oil and gas industry: Application of FMEA and BWM based picture fuzzy MABAC." Journal of petroleum science and engineering 219 (2022): 111059.
Baroroh, I., Ramadhan, N. G., Hardianto, D., & Kristiyono, T. A. (2023). Risk Evaluation of Ship Repair Delays with The Failure Modes and Effects Analysis ( FMEA ) Method. International Journal of Marine Engineering Innovation and Research, 8(4), 605–615. https://doi.org/http://dx.doi.org/10.12962%2Fj25481479.v8i4.19328
Bhattacharjee, P., Dey, V., & Mandal, U. K. (2020). Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model. Safety Science, 132, 104967. https://doi.org/https://doi.org/10.1016/j.ssci.2020.104967
Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering & System Safety, 50(2), 203–213. https://doi.org/https://doi.org/10.1016/0951-8320(95)00068-D
Curkovic, S., Scannell, T., & Wagner, B. (2013). Using FMEA for Supply Chain Risk Management. Modern Management Science & Engineering, 1, 251–265.
Fattahi, R., Tavakkoli-Moghaddam, R., Khalilzadeh, M., Shahsavari-Pour, N., & Soltani, R. (2020). A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment. Journal of Enterprise Information Management, 33(5), 881–904. https://doi.org/10.1108/JEIM-09-2019-0282
Lane, E. F., & Verdini, W. A. (1989). A consistency test for AHP decision makers. Decision Sciences, 20(3), 575–590.
Liu, H.-C., Chen, X.-Q., Duan, C.-Y., & Wang, Y.-M. (2019). Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review. Computers & Industrial Engineering, 135, 881–897.
https://doi.org/https://doi.org/10.1016/j.cie.2019.06.055
Maghami, M. R., Vahabzadeh, S., Mutambara, A. G. O., Ghoushchi, S. J., & Gomes, C. (2024). Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment. Stochastic Environmental Research and Risk Assessment, 38(9), 3543–3563. https://doi.org/10.1007/s00477-024-02764-6
Okeke, A. (2024). An exploration of sustainability and supply chain management practises in the oil and gas industry: A systematic review of practises and implications. Environmental and Sustainability Indicators, 23. https://doi.org/10.1016/j.indic.2024.100462
Pangestuti, D. C., Nastiti, H., & Husniaty, A. R. (2022). Analisis Risiko Operasional Dengan Metode FMEA. Jurnal Akuntansi, Ekonomi Dan Manajemen Bisnis, 10(2), 177–186. https://doi.org/https://doi.org/10.30871/jaemb.v10i2.3235
Saaty, Thomas L. Vargas, L. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process (Revised 2n).
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Santosa, S. H., Hidayat, A. P., Siskandar, R., & Rizkiriani, A. (2024). Fuzzy AHP Approach in Handling Returns Product of Bottle Glass Mineral Water at PT Marina. Jurnal Sains Dan Teknologi, 24(1), 59–74. https://doi.org/https://doi.org/10.36275/vvp9qe67
PTK-007/SKKIA0000/2023/S9 Revisi 05-Buku Kedua, Pedoman Pelaksanaan Pengadaan Barang/Jasa (2023).
Sooksaksun, N., & Chanta, S. (2023). APPLICATION OF ANALYTIC HIERARCHY PROCESS IN DECISION MAKING OF PROCESSED BANANA PRODUCTS FOR COMMUNITY ENTERPRISES. International Journal of the Analytic Hierarchy Process, 15(2).
Subriadi, A. P., & Najwa, N. F. (2020). The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment. Heliyon, Vol 6, Iss 1, Pp E03161- (2020)03161- (2020). https://doi.org/10.1016/j.heliyon.2020.e03161
Ulfa, A. A., & Immawan, T. (2021). Analisis Manajemen Risiko Dengan Penerapan ISO 31000 Pada Proses Machining ( Studi Kasus : Perusahaan AB ) Risk Management Analysis Using ISO 31000 at Machining Process ( Case Study : AB Company ). Jurnal Integrasi: Jurnal Ilmiah Teknik Industri, 6(2), 42–52. https://doi.org/https://doi.org/10.32502/js.v6i2.3986
Wang, Z., Ran, Y., Chen, Y., Yu, H., & Zhang, G. (2020). Failure mode and effects analysis using extended matter-element model and AHP. Computers & Industrial Engineering, 140, 106233. https://doi.org/https://doi.org/10.1016/j.cie.2019.106233
Wu, X., & Wu, J. (2021). The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty. Complexity, 2021(1), 8817667. https://doi.org/https://doi.org/10.1155/2021/8817667
Zhang, Z., Liu, X., & Yang, S. (2009). A Note on the 1-9 Scale and Index Scale In AHP BT - Cutting-Edge Research Topics on Multiple Criteria Decision Making. In Y. Shi, S. Wang, Y. Peng, J. Li, & Y. Zeng (Eds.), Cutting-Edge Research Topics on Multiple Criteria Decision Making (pp. 630–634). Springer Berlin Heidelberg.
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