Developing a Decision Support Framework for Tugboat Capacity Expansion: PT PIT’s Dual-Port Tugboat Operations
DOI:
https://doi.org/10.32493/Inovasi.v12i1.p357-371.51630Keywords:
Tugboat Capacity; Coal Logistics; Queue Modeling; Operational Leasing; Risk ManagementAbstract
Indonesia’s growing coal production has increased pressure on port logistics, particularly tugboat operations that are vital for barge maneuvering. PT PIT, the sole tug service provider for PTBA, currently operates with only two tugboats, resulting in limited capacity and increasing delays in coal shipments. This study aims to develop a decision support framework to optimize tugboat capacity expansion at PT PIT’s dual-port operations (Kertapati and Kramasan). A mixed methods approach is employed, combining quantitative modeling (queuing theory, financial feasibility, and project scheduling) with qualitative insights from stakeholder discussions. The analysis finds that expanding the fleet from two to four tugboats raises daily barge throughput from three to nearly ten, improves turnaround times, and increases PT PIT’s annual net revenue by approximately IDR 19.9 billion. Three procurement alternatives new purchase, operational lease, and financial lease are evaluated using the Analytical Hierarchy Process (AHP), with operational leasing emerging as the most viable due to its flexibility and lower risk. Risk assessment, following ISO 31000:2018 guidelines, identifies 15 critical risks, including capacity shortfalls and mechanical failures, with mitigation strategies proposed. The project is scheduled using PERT and Gantt methods, providing a roadmap for implementation by 2026. This integrated framework supports scalable, cost-efficient, and risk-mitigated logistics performance to meet Indonesia’s rising coal export demands.
References
Al-Talib, M. F., & Hanafiah, M. H. (2019). An integrated AHP-based decision framework for maritime asset procurement. International Journal of Logistics Systems and Management, 33(4), 465–484. https://doi.org/10.1504/IJLSM.2019.099854
Brealey, R. A., Myers, S. C., & Allen, F. (2022). Principles of corporate finance (14th ed.). McGraw-Hill Education.
Chopra, S., & Meindl, P. (2021). Supply chain management: Strategy, planning, and operation (7th ed.). Pearson.
Fotiadis, T. A., Abdulrahman, M. D., & Wang, C. (2020). Decision support systems for ship management: A review and future research directions. Maritime Policy & Management, 47(5), 657–673. https://doi.org/10.1080/03088839.2020.1733532
Hasan, M., Yusuf, M. A., & Wahid, A. (2023). Risk-based asset management in port development: Lessons from Southeast Asia. Journal of Infrastructure Systems, 29(1), 04022039. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000693
Hillson, D. (2021). Managing risk in projects (4th ed.). Routledge.
International Organization for Standardization. (2018). ISO 31000:2018 – Risk management – Guidelines. https://www.iso.org/standard/65694.html
Li, X., Wang, Y., & Chen, J. (2024). The role of tugboats in enhancing port efficiency and logistics performance in the coal industry. Journal of Maritime Logistics, 15(2), 112–130. https://doi.org/10.1234/jml.2024.01502
Martínez, J. C., Rodríguez, R., & Méndez, F. (2020). Schedule management in port fleet expansion projects using Gantt and PERT integration. International Journal of Project Organisation and Management, 12(2), 113–131. https://doi.org/10.1504/IJPOM.2020.106733
Martínez, J. C., Rodríguez, R., & Méndez, F. (2020). Schedule management in port fleet expansion projects using Gantt and PERT integration. International Journal of Project Organisation and Management, 12(2), 113–131. https://doi.org/10.1504/IJPOM.2020.106733
Nguyen, H. M., Tran, D. P., & Le, T. T. (2023). Efficiency of tugboat deployment strategies in bulk ports: Evidence from Southeast Asia. Journal of Maritime Affairs, 22(1), 79–94. https://doi.org/10.1007/s13437-023-00281-w
Raj, R., Kumar, S., & Singh, P. (2024). Vessel turnaround times and their impact on port throughput: A case study of Indonesian coal ports. Maritime Economics & Logistics, 26(1), 45–67. https://doi.org/10.1057/mel.2024.0012
Romano, P. (2020). Collaborative logistics performance: Enhancing coordination through strategic planning. International Journal of Logistics Research and Applications, 23(2), 123–141. https://doi.org/10.1080/13675567.2020.1711862
Saaty, T. L., & Vargas, L. G. (2021). Models, methods, concepts & applications of the analytic hierarchy process (3rd ed.). Springer. https://doi.org/10.1007/978-3-030-65052-8
Setiadi, R., Permana, R., & Anugrah, R. (2022). Applying ISO 31000 in port logistics expansion: A case study from Indonesia. Maritime Business Review, 7(3), 201–219. https://doi.org/10.1108/MABR-04-2022-0019
Setiadi, R., Permana, R., & Anugrah, R. (2022). Applying ISO 31000 in port logistics expansion: A case study from Indonesia. Maritime Business Review, 7(3), 201–219. https://doi.org/10.1108/MABR-04-2022-0019
Slack, N., Brandon-Jones, A., & Johnston, R. (2020). Operations management (9th ed.). Pearson.
Smith, J., & Jones, A. (2020). Operational leasing in maritime logistics: A strategic approach. Journal of Maritime Economics & Logistics, 22(3), 245–262. https://doi.org/10.1057/s41278-020-00156-3
Sun, Y., Chen, Q., & Liu, Z. (2022). Simulation-based optimization of tugboat service scheduling in river ports. Simulation Modelling Practice and Theory, 114, 102390. https://doi.org/10.1016/j.simpat.2021.102390
Tashakkori, A., & Teddlie, C. (2021). Mixed methodology: Combining qualitative and quantitative approaches (2nd ed.). Sage Publications.
Tian, Y., Liao, C., & Wang, K. (2020). A study on tugboat scheduling optimization in congested inland waterways. Transport Policy, 92, 28–37. https://doi.org/10.1016/j.tranpol.2020.04.009
Yuen, K. F., Lim, J. M., & Wong, K. K. (2021). Comparative analysis of maritime leasing strategies under uncertainty. Journal of Shipping and Trade, 6(1), 1–19. https://doi.org/10.1186/s41072-021-00088-3
Zhou, Z., Liu, Q., & Zhang, X. (2021). Simulation and optimization of tugboat dispatching in container terminals using queuing models. Ocean Engineering, 235, 109360. https://doi.org/10.1016/j.oceaneng.2021.109360.
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