Integrated Hub-and-Spoke Network Optimization for Inter-Island Freight Distribution in Eastern Indonesia: A Mixed-Method Logistics Framework

Authors

  • Nurlaela Kumala Dewi Universitas Logistik dan Bisnis Internasional image/svg+xml

DOI:

https://doi.org/10.61978/logistica.v4i1.1735

Keywords:

inter-island freight distribution, hub-and-spoke logistics, maritime logistics optimization, cargo consolidation, vessel utilization, logistics network design, Eastern Indonesia

Abstract

Inter-island freight distribution in Eastern Indonesia faces high logistics costs, low vessel utilization, and fragmented freight flows due to dispersed islands, long distances, and weak port-hinterland integration. This study develops an integrated hub-and-spoke logistics framework to improve efficiency by optimizing hub selection, cargo allocation, routing, shipment frequency, and vessel utilization. A mixed-method design combined qualitative stakeholder analysis with logistics network optimization. Semi-structured interviews with twelve stakeholders—shipping companies, port operators, logistics providers, government agencies, cargo owners, and academics—were analyzed thematically to identify operational issues, translated into decision variables for a mixed-integer linear programming optimization framework, complemented by sensitivity analysis of demand variability, fuel prices, vessel capacity, and schedule disruptions. Findings show the existing system remains fragmented and demand-driven, with vessel utilization at 55–65%, below the preferred 80% threshold. Stakeholders identified cargo consolidation, hub-port development, route optimization, scheduling, port-hinterland integration, and digital information sharing as key performance determinants. Strategically located hubs can reduce port calls, improve cargo aggregation, and lower costs, though direct shipping remains suitable for high-volume or time-sensitive cargo—suggesting a hybrid network combining hub-and-spoke and direct routing offers greater flexibility. Digital coordination among stakeholders is essential for schedule reliability. The study concludes that the integrated framework combines stakeholder knowledge with optimization principles, offering practical guidance for reducing costs and strengthening regional maritime connectivity in Eastern Indonesia.

References

Adepoju, O. O. (2024). Analysis of Constraints Against Efficiency of Seaport-Hinterland Logistics in Nigeria. Periodica Polytechnica Transportation Engineering, 52(2), 199–208. https://doi.org/10.3311/pptr.23287 DOI: https://doi.org/10.3311/PPtr.23287

Ahlan, M., Priyanto, S., & Utomo, S. H. T. (2024). Cost Comparison Analysis Between Maritime Intermodal and Road Mode Freight Transport in Java Island, Indonesia. International Journal of Transport Development and Integration, 8(2), 271–281. https://doi.org/10.18280/ijtdi.080206 DOI: https://doi.org/10.18280/ijtdi.080206

Bai, B., & Fan, W. (2022). Research on Strategic Liner Ship Fleet Planning With Regard to Hub-and-Spoke Network. Operations Management Research, 16(1), 363–376. https://doi.org/10.1007/s12063-022-00315-2 DOI: https://doi.org/10.1007/s12063-022-00315-2

Crainic, T. G., Perboli, G., & Rosano, M. (2018). Simulation of Urban Mobility Part I: Models and Approaches. Transportation Research Part C: Emerging Technologies, 86, 304–321. https://doi.org/10.1016/j.trc.2017.11.003 DOI: https://doi.org/10.1016/j.trc.2017.11.003

Cullinane, K. (2011). Editor’s Introduction: We Never Know the Worth of Water Till the Well Is Dry. https://doi.org/10.4337/9780857930866.00005 DOI: https://doi.org/10.4337/9780857930866.00005

Dérpich, I., Durán, C., Carrasco, R., Moreno, F., Fernández‐Campusano, C., & Espinosa-Leal, L. (2024). Chasing Optimization on Multimodal Transportation System: A Strategic Approach to Minimizing Costs and CO2 Emissions. https://doi.org/10.20944/preprints202404.0036.v1 DOI: https://doi.org/10.20944/preprints202404.0036.v1

Dinwoodie, J., Tuck, S., & Rigot-Müller, P. (2013). Maritime Oil Freight Flows to 2050: Delphi Perceptions of Maritime Specialists. Energy Policy, 63, 553–561. https://doi.org/10.1016/j.enpol.2013.08.068 DOI: https://doi.org/10.1016/j.enpol.2013.08.068

Ducruet, C. (2020). The Geography of Maritime Networks: A Critical Review. Journal of Transport Geography, 88, 102824. https://doi.org/10.1016/j.jtrangeo.2020.102824 DOI: https://doi.org/10.1016/j.jtrangeo.2020.102824

Fahim, P. B., Rezaei, J., Montreuil, B., & Tavasszy, L. (2022). Port Performance Evaluation and Selection in the Physical Internet. Transport Policy, 124, 83–94. https://doi.org/10.1016/j.tranpol.2021.07.013 DOI: https://doi.org/10.1016/j.tranpol.2021.07.013

Giuffrida, N., Ignaccolo, M., Inturri, G., & Torrisi, V. (2020). Port-City Shared Areas to Improve Freight Transport Sustainability. 67–82. https://doi.org/10.1007/978-3-030-58820-5_6 DOI: https://doi.org/10.1007/978-3-030-58820-5_6

Gruchmann, T., Pratt, N., Eiten, J., & Melkonyan, A. (2020). 4PL Digital Business Models in Sea Freight Logistics: The Case of FreightHub. Logistics, 4(2), 10. https://doi.org/10.3390/logistics4020010 DOI: https://doi.org/10.3390/logistics4020010

Iannone, F., Thore, S., & Forte, E. (2007). Inland Container Logistics and Interports. Goals and Features of an Ongoing Applied Research. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1149723 DOI: https://doi.org/10.2139/ssrn.1149723

Kabashkin, I., & Sansyzbayeva, Z. (2024). Methodology for International Transport Corridor Macro-Modeling Using Petri Nets at the Early Stages of Corridor Development With Limited Input Data. Modelling—International Open Access Journal of Modelling in Engineering Science, 5(1), 238–264. https://doi.org/10.3390/modelling5010013 DOI: https://doi.org/10.3390/modelling5010013

Mandal, J., Goswami, A., Mishra, N., & Tiwari, M. K. (2021). Liner Ship Freight Revenue and Fleet Deployment for Single Service. 123–131. https://doi.org/10.1007/978-3-030-85902-2_14 DOI: https://doi.org/10.1007/978-3-030-85902-2_14

Notteboom, T., & Rodrigue, J. (2022). Maritime Container Terminal Infrastructure, Network Corporatization, and Global Terminal Operators: Implications for International Business Policy. Journal of International Business Policy, 6(1), 67–83. https://doi.org/10.1057/s42214-022-00142-z DOI: https://doi.org/10.1057/s42214-022-00142-z

Nwokedi, T. C., Ndikom, O. C., Okoroji, L. I., & Nwaorgu, J. (2021). Determinant Port-Related Factors Affecting the Flow of Shipping Trade and Logistics in Nigerian Seaports. Logi – Scientific Journal on Transport and Logistics, 12(1), 261–270. https://doi.org/10.2478/logi-2021-0024 DOI: https://doi.org/10.2478/logi-2021-0024

Rum, M. (2018). Cost Efficiency of Sea Freight and Lowering Cost of Consumption Goods. Iop Conference Series Earth and Environmental Science, 156, 012020. https://doi.org/10.1088/1755-1315/156/1/012020 DOI: https://doi.org/10.1088/1755-1315/156/1/012020

Sandee, H. (2016). Improving Connectivity in Indonesia: The Challenges of Better Infrastructure, Better Regulations, and Better Coordination. Asian Economic Policy Review, 11(2), 222–238. https://doi.org/10.1111/aepr.12138 DOI: https://doi.org/10.1111/aepr.12138

Schiller, F., Penn, A. S., Druckman, A., Basson, L., & Royston, K. (2014). Exploring Space, Exploiting Opportunities. Journal of Industrial Ecology, 18(6), 792–798. https://doi.org/10.1111/jiec.12140 DOI: https://doi.org/10.1111/jiec.12140

Souza, M. O. D., Vaccaro, G. L. R., Rocha, L. A. O., & Lorenzini, G. (2019). Optimum Composition of Charter Contracts for the Renewal of the Fleet of Offshore Support Vessels Considering Uncertainties: A Literature Review. International Journal of Heat and Technology, 37(2), 365–378. https://doi.org/10.18280/ijht.370201 DOI: https://doi.org/10.18280/ijht.370201

Sun, Z., Zhang, R., & Zhu, T. (2022). Simulating the Impact of the Sustained Melting Arctic on the Global Container Sea–Rail Intermodal Shipping. Sustainability, 14(19), 12214. https://doi.org/10.3390/su141912214 DOI: https://doi.org/10.3390/su141912214

Trapp, A. C., Harris, I., Rodrigues, V. S., & Sarkis, J. (2020). Maritime Container Shipping: Does Coopetition Improve Cost and Environmental Efficiencies? Transportation Research Part D Transport and Environment, 87, 102507. https://doi.org/10.1016/j.trd.2020.102507 DOI: https://doi.org/10.1016/j.trd.2020.102507

Verny, J. (2007). The Importance of Decoupling Between Freight Transport and Economic Growth. Vol 7 No 2 (2007). https://doi.org/10.18757/ejtir.2007.7.2.3380 DOI: https://doi.org/10.18757/ejtir.2007.7.2.3380

Viljoen, N. M., & Joubert, J. W. (2016). The Vulnerability of the Global Container Shipping Network to Targeted Link Disruption. Physica a Statistical Mechanics and Its Applications, 462, 396–409. https://doi.org/10.1016/j.physa.2016.06.111 DOI: https://doi.org/10.1016/j.physa.2016.06.111

Zhou, S., Liu, X., Chen, J., Zhao, M., Wang, F., & Wu, L. (2025). Joint optimization of slot and empty container co-allocation for liner alliances with uncertain demand in maritime logistics industry. Transportation Research Part E: Logistics and Transportation Review, 204. https://doi.org/10.1016/j.tre.2025.104437 DOI: https://doi.org/10.1016/j.tre.2025.104437

Downloads

Published

2026-01-30

How to Cite

Dewi , N. K. (2026). Integrated Hub-and-Spoke Network Optimization for Inter-Island Freight Distribution in Eastern Indonesia: A Mixed-Method Logistics Framework. Logistica : Journal of Logistic and Transportation, 4(1), 1–21. https://doi.org/10.61978/logistica.v4i1.1735