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A decision support system for port selection

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  • Jasmine Siu Lee Lam
  • Jing Dai

Abstract

A number of studies have been carried out on the factors determining port choice, derived from the perspectives of shippers, carriers or both. Recently, some studies using multi-criteria analysis, more specifically Saaty's analytical hierarchy process (AHP), have been undertaken to address port competitiveness and port selection by shipping lines. Based on a review of the literature on port selection, this article proposes a decision support system (DSS) for port selection using AHP methodology. The proposed DSS is web-based and thus it can be accessed by more decision makers and data collection can be carried out faster. Moreover, AHP addresses the issue of how to structure a complex decision problem, identify its criteria, measure the interaction among them and finally synthesise all the information to arrive at priorities, which depict preferences. AHP is able to assist port managers in obtaining a detailed understanding of the criteria and address the port selection problem utilising multi-criteria analysis. This article presents the architecture and the port selection procedure of the web-based DSS, and then illustrates three different cases. It shows how technology advancement can bring positive effects of strategic planning to shipping firms.

Suggested Citation

  • Jasmine Siu Lee Lam & Jing Dai, 2012. "A decision support system for port selection," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(4), pages 509-524, January.
    • Handle: RePEc:taf:transp:v:35:y:2012:i:4:p:509-524
    DOI: 10.1080/03081060.2012.680822
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    References listed on IDEAS

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    3. Ali Majidi & Seyed M. J. Mirzapour Al-e-Hashem & Sarfaraz Hashemkhani Zolfani, 2021. "Sustainability Ranking of the Iranian Major Ports by Using MCDM Methods," Mathematics, MDPI, vol. 9(19), pages 1-20, October.
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    5. Notteboom, Theo E. & Parola, Francesco & Satta, Giovanni & Pallis, Athanasios A., 2017. "The relationship between port choice and terminal involvement of alliance members in container shipping," Journal of Transport Geography, Elsevier, vol. 64(C), pages 158-173.
    6. Kadir Diler Alemdar & Ahmet Tortum & Ömer Kaya & Ahmet Atalay, 2021. "Interdisciplinary Evaluation of Intersection Performances—A Microsimulation-Based MCDA," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    7. Flitsch, Verena & Brümmerstedt, Katrin, 2015. "Freight Transport Modelling of Container Hinterland Supply Chains," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 233-266, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    8. Akbari, Negar & Irawan, Chandra A. & Jones, Dylan F. & Menachof, David, 2017. "A multi-criteria port suitability assessment for developments in the offshore wind industry," Renewable Energy, Elsevier, vol. 102(PA), pages 118-133.
    9. Dimitrios Georgoulas & Ioannis Koliousis & Stratos Papadimitriou, 2023. "An AHP enabled port selection multi-source decision support system and validation: insights from the ENIRISST project," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-11, December.
    10. Felipe Lobo Umbelino Souza & Cira Souza Pitombo & Dong Yang, 2021. "Port choice in Brazil: a qualitative research related to in-depth interviews," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-22, December.

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