AHRMR

Article Details

Vol. 6 No. 3 (2026): September

Evaluating Fuel Distribution Fleet Performance Using Fuzzy AHP and RCA at Integrated Terminal Jakarta

https://doi.org/10.35912/ahrmr.v6.n3.p387-398.2026

Abstract

Purpose: This study aims to evaluate the performance of a fuel distribution fleet and formulate risk mitigation strategies for outstanding (failed cargo) cases at Integrated Terminal Jakarta, PT Pertamina Patra Niaga.

Methodology: A hybrid approach combining the Fuzzy Analytical Hierarchy Process (F-AHP) and Root Cause Analysis (RCA) was employed. Primary data were collected through pairwise comparison questionnaires from five purposively selected fleet management experts, and were supported by historical operational data.

Results: The F-AHP analysis revealed consistency as the most critical criterion (weight 0.245), followed by speed (0.222), distribution (0.203), cost (0.180), and schedule (0.149). For the subcriteria, conformity emerged as the dominant indicator, notably scoring 0.417 for consistency. The assessment showed high logical validity, with a Consistency Ratio of 0.00176.

Conclusions: Outstanding cases are primarily driven by workforce inconsistencies and procedural noncompliance rather than mechanical failures. Mitigation should focus on enhancing crew competence, implementing preventive maintenance, and optimizing route coordination.

Limitations: The scope is confined to the Integrated Terminal Jakarta and relies on one semester's data, which may not capture annual seasonal dynamics across other regional logistics hubs. Additionally, the study relies on a limited number of expert respondents (n=5) for the pairwise comparisons, which may restrict the broader generalizability of the weighting results

Contributions: This study provides an empirical framework for logistics managers in the energy sector to minimize operational disruptions, improve workforce compliance, and build supply chain resilience.

Keywords

Crew Performance Expert Respondents Fuzzy Analytical Hierarchy Process Logistics Management Root Cause Analysis

How to Cite

Parlindungan, P., Kania, D. D., Silalahi, S. A., Puspita, S. M. R., & Shaliha, F. A. (2026). Evaluating Fuel Distribution Fleet Performance Using Fuzzy AHP and RCA at Integrated Terminal Jakarta. Annals of Human Resource Management Research, 6(3), 387–398. https://doi.org/10.35912/ahrmr.v6.n3.p387-398.2026

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

References

  1. Abbaszadegan, A., Rios, F. C., Grau, D., Assainar, R., Ganapathy, R., & Diosdado, C. (2022). Stabilizing operations workflow in construction with real-time monitoring of craft labor crews. Lean Construction Journal, 2022, 184–205. https://doi.org/10.60164/04D4D7C5B
  2. Aczél, J., & Saaty, T. L. (1983). Procedures for synthesizing ratio judgements. Journal of Mathematical Psychology, 27(1), 93-102. https://doi.org/10.1016/0022-2496(83)90028-7
  3. Aguero, J. R., Novosel, D., Hart, D., Nassif, A. B., Enayati, B., & Black, C. R. (2025). Applications of synchronized measurement technologies in power distribution systems: Helping to speed up technology deployment. IEEE Power and Energy Magazine, 23(1), 18-34. https://doi.org/10.1109/MPE.2024.3422975
  4. Al-Tahat, M. D., Al-Zain, Y. M. Y., & Aladaileh, M. N. S. (2026). Predictive reliability analysis of a transportation fleet a case study from Jordan. WSEAS Transactions on Environment and Development, 22, 247–260. https://doi.org/10.37394/232015.2026.22.20
  5. Alabdouli, H., Hassan, M. S., & Abdelfatah, A. (2025). Enhancing route guidance with integrated V2X communication and transportation systems: A review. Smart Cities, 8(1), 1-34. https://doi.org/10.3390/smartcities8010024
  6. Alam, N. M. F. H. N. B., Khalif, K. M. N. K., & Jaini, N. I. (2023). Analytic hierarchy process based on the magnitude of z-numbers. International Journal of the Analytic Hierarchy Process, 15(1), 1-17. https://doi.org/10.13033/IJAHP.V15I1.1063
  7. Alharairi, M., Amin, S. H., Zolfaghari, S., & Fang, L. (2025). Fuzzy analytic hierarchy process: A comprehensive literature review. International Journal of the Analytic Hierarchy Process, 17(3), 1-27. https://doi.org/10.13033/ijahp.v17i3.1311
  8. Alla, B. A. A., Mannan, A., Aswan, A., Sabbar, S. D., & Nohong, M. (2024). Performance of public service employees in Makassar: Hard & soft analysis of human resource management approach. Journal of Infrastructure, Policy and Development, 8(9), 1-29. https://doi.org/10.24294/jipd.v8i9.5910
  9. Alqazan, M. S., Kherallah, M., & Kammoun, F. (2023). Design and implementation of an IoT-based smart fuel filling system for efficient resource management. Operational Research in Engineering Sciences: Theory and Applications, 6(3), 398-413. https://doi.org/10.31181/oresta/060320
  10. Barrueta, M. C., Dueñas Mendoza, Y. R., Huiman, J. A. L., Elias Velezmoro, K. N., Morales Huapaya, K. A., & Portugal Rivera, A. J. (2025). A systematic review of digital management tools and their impact on operational efficiency in heavy-duty freight transportation. World Review of Intermodal Transportation Research, 12(2), 193-215. https://doi.org/10.1504/WRITR.2025.151056
  11. Bratskikh, D. S., Romasheva, N. V., Konopelko, A. Y., & Nikolaychuk, L. A. (2024). Model of supply chain management in the oil and gas industry using digital technologies. Oil Industry Journal, 2024(7), 120-125. https://doi.org/10.24887/0028-2448-2024-7-120-125
  12. Castillo, A. C. D., & Parlikad, A. K. (2024). Dynamic fleet management: Integrating predictive and preventive maintenance with operation workload balance to minimise cost. Reliability Engineering and System Safety, 249, 1-11. https://doi.org/10.1016/j.ress.2024.110243
  13. Chakraborty, S., Milo, R., Cordasco, G., Perna, A., & Esposito, A. (2026). Exploring the role of conformity in decision-making and emotional regulation: A systematic review. Social Sciences, 15(1), 1-18. https://doi.org/10.3390/socsci15010014
  14. Chen, C. Y., & Huang, J. J. (2023). Integrating Dynamic Bayesian networks and analytic hierarchy process for time-dependent multi-criteria decision-making. Mathematics, 11(10), 1-12. https://doi.org/10.3390/math11102362
  15. Chi, C. F., Tjendra, V., & Su, S. (2026). Root cause analysis of airplane technical failures with Rasmussen's Risk Management Framework (RRMF) based Human-Machine-Environment-Procedure (HMEP) taxonomy. Applied Ergonomics, 134, 1-19. https://doi.org/10.1016/j.apergo.2026.104723
  16. Das, A., Alam, M. S., & Hawlader, M. R. (2025). Unveiling the impact of green innovation on organizational performance: An empirical study on FMCG sector in Bangladesh. Annals of Management and Organization Research, 7(2), 247-267. https://doi.org/10.35912/amor.v7i2.3241
  17. Du, W., Du, J., Zhang, H., & Yang, D. (2026). Research on root cause analysis method for certain civil aircraft based on ensemble learning and large language model reasoning. Machines, 14(3), 1-43. https://doi.org/10.3390/machines14030322
  18. Elsaeed, A., Ashour, M., & Elshaer, R. (2024). Integrating production scheduling and vehicle routing decisions at the operational decision level: A review and discussion extension. Journal of Advanced Manufacturing Systems, 23(2), 409-436. https://doi.org/10.1142/S0219686724500173
  19. Forman, E., & Peniwati, K. (1998). Aggregating individual judgments and priorities with the analytic hierarchy process. European Journal of Operational Research, 108(1), 165-169. https://doi.org/10.1016/S0377-2217(97)00244-0
  20. Hagos, E., Brijs, T., Brijs, K., Wets, G., & Teklu, B. (2023). Safety culture among transport companies in Ethiopia: Are they ready for emerging fleet technologies?. Sustainability, 15(4), 1-16. https://doi.org/10.3390/su15043232
  21. Haid, C., Berchtel, O., Wagner, N., & Fottner, J. (2024). Development of human-centered scheduling in logistics. Logistics Journal, 20, 1-10. https://doi.org/10.2195/lj_proc_haid_en_202410_01
  22. Joshi, M., Dixit, S., Nikhade, S. D., & Talodhikar, V. (2025). Solar site selection: A novel Normalized Expert Strictness for Tailored Evaluation in Decision-Making (NESTED) approach. Journal of Scientific and Industrial Research, 84(5), 567-574. https://doi.org/10.56042/jsir.v84i5.11859
  23. Juniasri, A. T., Harsono, D. M., & Dwikardana, S. (2026). Determinants of employee organizational citizenship behavior in Indonesia: Evidence from a systematic literature review. Annals of Management and Organization Research, 7(3), 401-416. https://doi.org/10.35912/amor.v7i3.3760
  24. Kadhum, A. A. L., & Hasan, B. A. (2022). Testing the rule of the Earliest Due Date (EDD) in achieving the priority of delivery: A case study in the directorate of printing press for the Iraqi media network. Journal of Techniques, 4(3), 109-114. https://doi.org/10.51173/jt.v4i3.472
  25. Kaushik, S., Pant, S., Joshi, L. K., Kumar, A., & Ram, M. (2024). A review based on various applications to find a consistent pairwise comparison matrix. Journal of Reliability and Statistical Studies, 17(1), 45-76. https://doi.org/10.13052/jrss0974-8024.1713
  26. Kavitha, S. R. (2025). The impact of human resource practices on organizational performance: The mediating role of work engagement. International Research Journal of Multidisciplinary Scope, 6(1), 213-225. https://doi.org/10.47857/irjms.2025.v06i01.02661
  27. Liu, B., Tan, C., Gao, X., Wang, J., Jing, L., & Feng, G. (2026). Progress and prospects of optimization technologies for multi-energy complementary energy systems in oil and gas production well sites. Petroleum Drilling Techniques, 54(2), 211-222. https://doi.org/10.11911/syztjs.2026034
  28. Liu, J., Liu, H., Bu, Z., He, P., & Liu, J. (2024). Investors' rational conformity to government's excessive behavior in PPP project: Forms and measurement. International Journal of Strategic Property Management, 28(4), 261-271. https://doi.org/10.3846/ijspm.2024.21824
  29. Lu, C., & Zhang, Y. (2026). A dynamic hybrid weighting framework for teaching effectiveness evaluation in multi-criteria decision-making: Integrating interval-valued intuitionistic Fuzzy AHP and entropy triggering. Entropy, 28(2), 1-21. https://doi.org/10.3390/e28020241
  30. Mahale, Y., Kolhar, S., & More, A. S. (2025). Enhancing predictive maintenance in automotive industry: Addressing class imbalance using advanced machine learning techniques. Discover Applied Sciences, 7(4), 1-21. https://doi.org/10.1007/s42452-025-06827-3
  31. Mendoza, A., Smith, A., Liu, S. N., Hendricks, J. W., Peres, S. C., & Sasangohar, F. (2024). One procedure change process, two interpretations: A qualitative exploration of differences in user and administrative perceptions. IISE Transactions on Occupational Ergonomics and Human Factors, 12(4), 211-223. https://doi.org/10.1080/24725838.2024.2408028
  32. Meng, F., Zhao, D., & Tan, C. (2024). An adaptive optimization consensus mechanism for group decision making using the Shapley allocation scheme. Information Sciences, 653. https://doi.org/10.1016/j.ins.2023.119752
  33. Mukhametzyanov, I. Z. (2025). Goal inversion in multi-criteria decision making problems. Advances in Systems Science and Applications, 25(4), 18-28. https://doi.org/10.25728/assa.2025.25.4.1995
  34. Naghi Beiranvand, D., Jamali Firouzabadi, K., & Dorniani, S. (2023). A model of service supply chain sustainability assessment using fuzzy methods and factor analysis in oil and gas industry. Journal of Modelling in Management, 18(1), 117-146. https://doi.org/10.1108/JM2-01-2021-0010
  35. Nguyen, P. H. (2024). Fully completed spherical fuzzy approach-based Z numbers (PHI model) for enhanced group expert consensus. Computers, Materials and Continua, 80(1), 1655-1675. https://doi.org/10.32604/cmc.2024.050713
  36. Oonchokdee, N., Pichitlamken, J., & Wangwatcharakul, W. (2024). Cost reduction by fleet planning for parcel delivery service. Science and Technology Asia, 29(2), 74-84.
  37. Parlindungan, P., Sanny, L., Sholihah, S. A., Nofrisel, N., & Zaroni, Z. (2025). Behaviour and satisfaction effects on user loyalty within e-procurement of national oil firms. Studi Akuntansi, Keuangan, dan Manajemen, 5(2), 469-484. https://doi.org/10.35912/sakman.v5i2.5524
  38. Ruminda, M., Parlindungan, P., Aulia, N., Bila, S., & Fachrurozy, R. A. (2025). Enhancing passenger satisfaction through service quality: The strategic role of baggage handling. Journal of Social Research, 4(9), 2340-2354. https://doi.org/10.55324/josr.v4i9.2772
  39. Sadeghi, S., & Barzegari, J. (2020). Accounting in the fourth industrial revolution: Exploration of digital currency exchanges using AHP method. Annals of Management and Organization Research, 2(1), 25-40. https://doi.org/10.35912/amor.v2i1.556
  40. Singh, J., Michaelides, G., Mellor, N., Vaillant, D., Saunder, L., & Karanika-Murray, M. (2024). The effects of individual and team resilience on psychological health and team performance: A multi-level approach. Current Psychology, 43, 33828-33843. https://doi.org/10.1007/s12144-024-06861-1
  41. Sithole, L. T., Luke, R., & Nabee, S. G. (2021). The impact of measuring driver performance on the bulk fuel supply chain. Journal of Transport and Supply Chain Management, 15, 1-11. https://doi.org/10.4102/jtscm.v15i0.583
  42. Sivaraman, S., Arun, P. A., & Tauseef, S. M. (2021). Multi-criterion-based qualitative comparative analysis of root cause methods: Application to deepwater horizon oil spill. Journal of Failure Analysis and Prevention, 21(5), 1662-1682. https://doi.org/10.1007/s11668-021-01212-9
  43. Steen-Tveit, K., Munkvold, B. E., & Rustenberg, K. (2024). Use of standard operating procedures for supporting Cross-Organizational emergency management: Challenges and opportunities identified from a tabletop exercise. International Journal of Disaster Risk Science, 15(5), 673-687. https://doi.org/10.1007/s13753-024-00583-5
  44. Susanty, A., Puspitasari, N. B., Pujotomo, D., Purwanggono, B., & Akbar, M. S. (2026). Overcoming barriers to green procurement: Insights from an integrated model of decision-making trial and evaluation laboratory-interpretive structural modelling in logistics industry. Journal of Transport and Supply Chain Management, 20, 1-19. https://doi.org/10.4102/jtscm.v20i0.1218
  45. Ubed, R. S., & Raharjo, T. (2024). An integration of BSC and AHP for creating VOE’s barriers of entry strategy. Annals of Human Resource Management Research, 4(2), 97-109. https://doi.org/10.35912/ahrmr.v4i2.1757
  46. Warren, T., Masele, J. J., & Magova, G. B. (2026). A meta-analysis review of total quality management issues in operational performance research: Systematic and Pareto analysis review. International Journal of Productivity and Quality Management, 47(1), 106-139. https://doi.org/10.1504/IJPQM.2026.150895
  47. Zhang, C., Guo, H., Wang, Z., Feng, F., Pradhan, A., & Bao, S. (2025). Assessing the effectiveness of driver training interventions in improving safe engagement with vehicle automation systems. Journal of Safety Research, 95, 197–210. https://doi.org/10.1016/j.jsr.2025.10.003
  48. Zohir, H. M., Ismael, I. M., El-Gendy, E. M., & Saafan, M. M. (2025). Advancements in accident-aware traffic management: A comprehensive review of V2X-based route optimization. Scientific Reports, 15(1), 1-21. https://doi.org/10.1038/s41598-025-20878-x

Authors

1 Purbanuara Parlindungan
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
https://orcid.org/0009-0005-2347-1109
2 Dinar Dewi Kania
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
3 Siska Amonalisa Silalahi
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
4 Sesaria Mardhiani Rachma Puspita
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
5 Farraz Aulia Shaliha
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Downloads

View PDF

Statistics

Downloads

Download data is not yet available.

Issue

Vol. 6 No. 3 (2026): September
Section: Articles
WhatsApp Instagram Facebook LinkedIn Email