Optimizing Risk Management and Operational Efficiency in Self-Propelled Oil Barge Operations Using AHP and FMEA: A Case Study at PT. Faher Hayat Bersatu
Abstract
This study aims to optimize risk management and operational efficiency in self-propelled oil barge operations at PT.
Faher Hayat Bersatu. As part of the maritime logistics sector, the company operates in an environment that demands
both high reliability and strong risk mitigation strategies. Effective decision-making under such conditions requires a
structured, data-driven approach that can address both performance priorities and operational vulnerabilities. To achieve
this, the study integrates two well-established methodologies: the Analytic Hierarchy Process (AHP) and Failure Mode
and Effects Analysis (FMEA). The AHP method is used to determine the relative importance of various operational
criteria and sub-criteria, with results indicating that “Fuel Cost” and “Timely Delivery” are the most critical factors.
Concurrently, FMEA is utilized to assess potential failure modes, identifying “Fuel Leakage” as having the highest Risk
Priority Number (RPN), marking it as the most severe risk. The integration of AHP and FMEA provides a
comprehensive framework that enables companies to prioritize operational focus areas while systematically addressing
the risks associated with them, thereby supporting strategic planning and continuous performance improvement.
Keywords: AHP, FMEA, Risk Management, Operational Efficiency, Oil Barge
References
Ghaffar, A. A., & Indrawati. (2024). The Assessment of Usability and Service Quality in E-Commerce Using the
Integration of Analytical Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal
Solution (TOPSIS). Asian Journal of Business and Accounting, 17(1), 201–224.
https://doi.org/10.22452/ajba.vol17no1.7
Hendayani, R., & Rahmadina, E. (2021). Analysis of the House of Risk (HOR) Model for Risk Mitigation of the Supply
Chain Management Process (Case Study: KPBS Pangalengan Bandung, Indonesia). 2021 9th International
Conference on Information and Communication Technology (ICoICT).
Hendayani, R., Rahmadina, E., Anggadwita, G., & Pasaribu, R. D. (2021). Analysis of the House of Risk (HOR) Model
for Risk Mitigation of the Supply Chain Management Process (Case Study: KPBS Pangalengan Bandung,
Indonesia). 2021 9th International Conference on Information and Communication Technology (ICoICT), 13–18.
https://doi.org/10.1109/ICoICT52021.2021.9527526
Mascia, A., Cirafici, A. M., Bongiovanni, A., Colotti, G., Lacerra, G., Di Carlo, M., Digilio, F. A., Liguori, G. L., Lanati,
A., & Kisslinger, A. (2020). A failure mode and effect analysis (FMEA)-based approach for risk assessment of
scientific processes in non-regulated research laboratories. Accreditation and Quality Assurance, 25(5–6), 311–
https://doi.org/10.1007/s00769-020-01441-9
Nuur Afiif, H., & Okdinawati, L. (2024). Cost Optimization and Risk Management Program for the Fuel Supply
Network in an Oil & Gas Swamp Operation. International Journal of Current Science Research and Review,
(01). https://doi.org/10.47191/ijcsrr/V7-i1-61
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research,
(1). https://doi.org/10.1016/0377-2217(90)90057-I
Sekaran, U., & Bougie, R. (2025). Research Methods for Business: A Skill-Building Approach (9th ed.). Wiley.
Zhu, J. H., Chen, Z. S., Shuai, B., Pedrycz, W., Chin, K. S., & Martínez, L. (2021). Failure mode and effect analysis: A
three-way decision approach. Engineering Applications of Artificial Intelligence, 106, 104505.
