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Leveraging Blockchain for Maritime Port Supply Chain Management through Multicriteria Decision Making

Author

Listed:
  • Claudia Durán

    (Departamento de Ingeniería Industrial, Universidad Tecnológica Metropolitana, Santiago 7800002, Chile)

  • Amir Karbassi Yazdi

    (Departamento de Ingeniería Industrial y de Sistemas, Facultad de Ingeniería, Universidad de Tarapacá, Arica 1010069, Chile)

  • Iván Derpich

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 916000, Chile)

  • Yong Tan

    (School of Management, University of Bradford, Bradford BD7 1DP, UK)

Abstract

This research investigates the optimal integration of Blockchain Technology (BT) in Supply Chain Management (SCM) within Chile’s maritime ports. Utilizing fuzzy Logarithmic Methodology of Additive Weights (LMAW) and Double Normalization-based Multiple Aggregation Methods (DNMA), the study systematically identifies, prioritizes, and ranks key factors influencing BT adoption in SCM. The study’s findings highlight crucial factors like enhanced transaction security, good supply chain practices, and risk management. Furthermore, it ranks the application of ports as prime candidates for BT integration. The research contributes theoretically by developing a hybrid model combining MCDA methods, and practically by guiding the strategic application of BT in the maritime logistics sector, aligning with the principles of Industry 5.0. This paper presents a novel approach that explores the utilization of BT in maritime supply chain management, incorporating MCDA in a vague environment. The research gap of this study lies in defining new contexts in both theoretical and practical literature reviews for extending the use of BT in SCM in the ports of Chile, according to Industry 5.0, to increase the efficiency and effectiveness of all aspects of operations in these places. The contribution of this research is applying hybrid MCDA methods in an uncertain environment to assist decision-makers (DMs) in better implementing BT in SCM in Chilean ports, according to Industry 5.0.

Suggested Citation

  • Claudia Durán & Amir Karbassi Yazdi & Iván Derpich & Yong Tan, 2024. "Leveraging Blockchain for Maritime Port Supply Chain Management through Multicriteria Decision Making," Mathematics, MDPI, vol. 12(10), pages 1-23, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1511-:d:1393409
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    References listed on IDEAS

    as
    1. Liao, Huchang & Wu, Xingli, 2020. "DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making," Omega, Elsevier, vol. 94(C).
    2. Marija Jović & Edvard Tijan & Dražen Žgaljić & Saša Aksentijević, 2020. "Improving Maritime Transport Sustainability Using Blockchain-Based Information Exchange," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    3. I. Argyriou & N. Sifakis & T. Tsoutsos, 2022. "Ranking measures to improve the sustainability of Mediterranean ports based on multicriteria decision analysis: a case study of Souda port, Chania, Crete," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6449-6466, May.
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    Cited by:

    1. Ramazan Ozkan Yildiz & Elif Koc & Oguzhan Der & Murat Aymelek, 2024. "Unveiling the Contemporary Research Direction and Current Business Management Strategies for Port Decarbonization Through a Systematic Review," Sustainability, MDPI, vol. 16(24), pages 1-38, December.

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