Assessment of Barrier and Selection of Strategies for Loading and Unloading Operations at Ports using Fuzzy BWM-MABAC

Authors

  • Nadhea Aurelie Salsabila Universitas Muhammadiyah Malang
  • Dana Marsetiya Utama Universitas Muhammadiyah Malang

Keywords:

Fuzzy BWM, Fuzzy MABAC, port optimization, MCDM

Abstract

This study developed an integrated Fuzzy Multi-Criteria Decision Making (MCDM) framework to assess obstacles and prioritize improvement strategies for loading and unloading operations at ports. The Fuzzy Best Worst Method (F-BWM) was applied to obtain consistent criterion weights, while Fuzzy MABAC was used to rank six strategic alternatives. Twenty-five operational sub-criteria, adapted and validated by experts, were used to reflect the port context. Results show that modernizing equipment combined with preventive maintenance is the strongest strategy across various sensitivity scenarios. This study contributes to the field by extending the application of hybrid MCDM to the port sector and by demonstrating how integrated methods enhance the weighting and ranking processes. From a managerial perspective, these findings provide structured decision support for port authorities to allocate resources effectively, prioritize technology-based interventions, and plan for long-term improvements in human resources and infrastructure.

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References

[1] A. Majidi, S. M. J. Mirzapour Al-e-Hashem, and S. Hashemkhani Zolfani, "Sustainability ranking of the Iranian major ports by using MCDM methods," Mathematics, vol. 9, no. 19, p. 2451, 2021, doi: https://doi.org/10.3390/math9192451.

[2] C.-N. Wang and T.-L. Chao, "Fuzzy multi-criteria decision making for decision support in port capacity upgrade," Computers, Materials & Continua, vol. 73, no. 2, 2022, doi: https://doi.org/10.32604/cmc.2022.026682.

[3] N. Lamii, F. Bentaleb, M. Fri, C. Mabrouki, and E. A. Semma, "Use of DELPHI-AHP method to identify and analyze risks in seaport dry port system," Transactions on Maritime Science, vol. 11, no. 01, pp. 185-206, 2022, doi: https://doi.org/10.7225/toms.v11.n01.w12.

[4] P. Bolat, G. Kayişoğlu, E. Gunes, F. Kizilay, and S. Ozsogut, "Weighting key factors for port congestion by AHP method," Journal of ETA maritime science, vol. 8, no. 4, 2020, doi: https://doi.org/10.5505/jems.2020.64426.

[5] T. Q. Nguyen, L. T. T. Ngo, N. T. Huynh, T. L. Quoc, and L. V. Hoang, "Assessing port service quality: An application of the extension fuzzy AHP and importance-performance analysis," PloS one, vol. 17, no. 2, p. e0264590, 2022, doi: https://doi.org/10.1371/journal.pone.0264590.

[6] A. Pabón-Noguera, M. G. Carrasco-García, J. J. Ruíz-Aguilar, M. I. Rodríguez-García, M. Cerbán-Jimenez, and I. J. T. Domínguez, "Multicriteria decision model for port evaluation and ranking: An analysis of container terminals in Latin America and the Caribbean using PCA-TOPSIS methodologies," Applied Sciences, vol. 14, no. 14, p. 6174, 2024, doi: https://doi.org/10.3390/app14146174.

[7] A. Alazzawi and J. Żak, "MCDM/A based design of sustainable logistics corridors combined with suppliers selection: The case study of freight movement to Iraq," Transportation Research Procedia, vol. 47, pp. 577-584, 2020, doi: https://doi.org/10.1016/j.trpro.2020.03.134.

[8] E. Ibazebo, V. Savsani, A. Siddhpura, M. Siddhpura, and P. Savsani, "Novel fuzzy multi-criteria decision framework for maritime infrastructure maintenance," Infrastructures, vol. 10, no. 4, p. 89, 2025, doi: https://doi.org/10.3390/infrastructures10040089.

[9] J. Yu, H. Xiao, F. Sun, L. Yan, and M. Liu, "Research on the safety evaluation method for quayside container cranes based on the best–worst method–pythagorean fuzzy VIKOR approach," Applied Sciences, vol. 14, no. 3, p. 1312, 2024, doi: https://doi.org/10.3390/app14031312.

[10] E. Lujan, E. Vergara, J. Rodriguez-Melquiades, M. Jiménez-Carrión, C. Sabino-Escobar, and F. Gutierrez, "A fuzzy optimization model for the berth allocation problem and quay crane allocation problem (BAP+ QCAP) with n quays," Journal of Marine Science and Engineering, vol. 9, no. 2, p. 152, 2021, doi: https://doi.org/10.3390/jmse9020152.

[11] J. Sun, H. Wang, and Z. Cui, "Alleviating the bauxite maritime supply chain risks through resilient strategies: QFD-MCDM with intuitionistic fuzzy decision approach," Sustainability, vol. 15, no. 10, p. 8244, 2023, doi: https://doi.org/10.3390/su15108244.

[12] J. J. Stanković, I. Marjanović, J. Papathanasiou, and S. Drezgić, "Social, economic and environmental sustainability of port regions: Mcdm approach in composite index creation," Journal of Marine Science and Engineering, vol. 9, no. 1, p. 74, 2021, doi: https://doi.org/10.3390/jmse9010074.

[13] A. Ergin and I. Eker, "Application of fuzzy topsis model for container port selection considering environmental factors," International Journal of Maritime Engineering, vol. 161, no. A3, 2019, doi: https://doi.org/10.3940/rina.ijme.2019.a3.546.

[14] Ö. Çağlayan and M. Aymelek, "An integrated multi-criteria decision support model for sustainable ship queuing policy application via vessel traffic service (VTS)," Sustainability, vol. 16, no. 11, p. 4615, 2024, doi: https://doi.org/10.3390/su16114615.

[15] L. N. Luidmyla, Y. O. Taras, and V. H. Oleksandr, "New approach in models for managing the vessel’s unloading process," Journal of Shipping and Trade, vol. 10, no. 1, pp. 1-23, 2025, doi: https://doi.org/10.1186/s41072-025-00195-2.

[16] B. D. Sarkar and L. Gupta, "Performance enhancement of port logistics: a framework using hybrid approach," Journal of Advances in Management Research, 2024, doi: https://doi.org/10.1108/JAMR-03-2024-0080.

[17] A. Jusufbašić, "MCDM methods for selection of handling equipment in logistics: A brief review," Spectrum of Engineering and Management Sciences, vol. 1, no. 1, pp. 13-24, 2023, doi: https://doi.org/10.31181/sems1120232j.

[18] S. Vesković, Ž. Stević, Z. Nunić, S. Milinković, and D. Mladenović, "A novel integrated large-scale group MCDM model under fuzzy environment for selection of reach stacker in a container terminal," Applied Intelligence, vol. 52, no. 12, pp. 13543-13567, 2022, doi: https://doi.org/10.1007/s10489-021-02914-1.

[19] D. M. Utama, B. Maharani, and I. Amallynda, "Integration Dematel and ANP for the supplier selection in the textile industry: A case study," Jurnal Ilmiah Teknik Industri, vol. 20, no. 1, pp. 119-130, 2021, doi: https://doi.org/10.23917/jiti.v20i1.13806.

[20] H. S. Loh, Q. Zhou, V. V. Thai, Y. D. Wong, and K. F. Yuen, "Fuzzy comprehensive evaluation of port-centric supply chain disruption threats," Ocean & Coastal Management, vol. 148, pp. 53-62, 2017, doi: https://doi.org/10.1016/j.ocecoaman.2017.07.017.

[21] I. Ajripour and T. Hanne, "Using the fuzzy best worst method for evaluating strategic planning models," Processes, vol. 11, no. 4, p. 1284, 2023, doi: https://doi.org/10.3390/pr11041284.

[22] B. Sahin, T. L. Yip, P.-H. Tseng, M. Kabak, and A. Soylu, "An application of a fuzzy TOPSIS multi-criteria decision analysis algorithm for dry bulk carrier selection," Information, vol. 11, no. 5, p. 251, 2020, doi: https://doi.org/10.3390/info11050251.

[23] H. Karlı, R. G. Ö. Karlı, and S. Çelikyay, "Fuzzy AHP approach to the determinatıon of smart port dimensions: a case study on filyos port," Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 9, no. 1, pp. 322-336, 2021, doi: 10.29130/dubited.811530

[24] M. Keshavarz-Ghorabaee, M. Amiri, M. Hashemi-Tabatabaei, and M. Ghahremanloo, "Sustainable public transportation evaluation using a novel hybrid method based on fuzzy BWM and MABAC," The Open Transportation Journal, vol. 15, no. 1, 2021, doi: https://doi.org/10.2174/1874447802115010031.

[25] R. H. Fadilla, C. N. Rosyidi, and W. A. Jauhari, "Supplier selection and order allocation in a pharmaceutical wholesaler," Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 27, no. 1, pp. 137-150, 2025, doi: https://doi.org/10.9744/jti.27.1.137-150.

[26] X.-G. Xu, H. Shi, L.-J. Zhang, and H.-C. Liu, "Green supplier evaluation and selection with an extended MABAC method under the heterogeneous information environment," Sustainability, vol. 11, no. 23, p. 6616, 2019, doi: https://doi.org/10.3390/su11236616.

[27] A. E. Torkayesh, E. B. Tirkolaee, A. Bahrini, D. Pamucar, and A. Khakbaz, "A systematic literature review of MABAC method and applications: An outlook for sustainability and circularity," Informatica, vol. 34, no. 2, pp. 415-448, 2023, doi: https://doi.org/10.15388/23-INFOR511.

[28] J. Wang, J. Wen, V. Pajić, and M. Andrejić, "Optimizing cross-dock terminal location selection: A multi-step approach based on CI-DEA–IDOCRIW–MABAC for enhanced supply chain efficiency—A case study," Mathematics, vol. 12, no. 5, p. 736, 2024, doi: https://doi.org/10.3390/math12050736.

[29] S. Mombeni, S. A. Darestani, and N. H. Shemami, "Evaluation of the effective factors of unloading and loading goods in ports and the impact on the environment using the MCDM method," Environmental Science and Pollution Research, vol. 30, no. 6, pp. 14873-14883, 2023, doi: https://doi.org/10.1007/s11356-022-23219-x.

[30] M. Jafari and S. Naghdi Khanachah, "An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment," Artificial Intelligence Review, vol. 57, no. 9, p. 227, 2024, doi: https://doi.org/10.1007/s10462-024-10830-2.

[31] D. Bozanic, D. Tešić, and J. Kočić, "Multi-criteria FUCOM–Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge," Decision making: applications in management and engineering, vol. 2, no. 1, pp. 132-146, 2019, doi: https://doi.org/10.31181/dmame1901132b.

[32] M. K. Othman, I. A. Sanusi, A. M. Arof, and A. Ismail, "Evaluation of delay factors on dry bulk cargo operation in Malaysia: a case study of kemaman port," The Asian Journal of Shipping and Logistics, vol. 35, no. 3, pp. 127-137, 2019, doi: https://doi.org/10.1016/j.ajsl.2019.09.001.

[33] H. Ghiara and A. Tei, "Port activity and technical efficiency: determinants and external factors," Maritime Policy & Management, vol. 48, no. 5, pp. 711-724, 2021, doi: https://doi.org/10.1080/03088839.2021.1872807.

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Published

2025-10-02

How to Cite

[1]
N. A. Salsabila and D. Utama, “Assessment of Barrier and Selection of Strategies for Loading and Unloading Operations at Ports using Fuzzy BWM-MABAC ”, J. Tek. Ind. J. Keilmuan dan Apl. Tek. Ind., vol. 27, no. 2, pp. 203–216, Oct. 2025.

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