Proposing Key Factors to Deploy Vietnam E-Navigation Model Using Fuzzy-AHP Multi-criteria Approach
Main Article Content
Abstract
E-Navigation is considered a fundamental solution for digital transformation in the Vietnamese maritime industry. In this paper, the authors propose a practical framework for assessing Vietnam's current readiness for e-Navigation. The main factors for assessment include: Governance and Standardization, Technology Infrastructure, People and Processes, and Information and Data. Furthermore, these four main factors are assessed in detail according to thirteen factors that have been refined based on international guidelines and expert analysis and evaluation. Since expert analysis and evaluation may be uncertain, to determine the relative weights of the factors, the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) was applied. The results show that the main factor of Governance and Standardization has the highest weight. This is followed by the factors of Technology Infrastructure and People, respectively. The results of this assessment indicate the hierarchical harmonization of the criteria which will be an important basis for maritime state management agencies and related organizations in developing e-Navigation development plans in Vietnam. In the future, this assessment method can be referenced and adjusted to develop e-Navigation for countries with similar conditions.
Keywords
Fuzzy-AHP method, maritime digital infrastructure, Vietnam e-Navigation
Article Details
References
[2] International Maritime Organization, e-Navigation Strategy Implementation Plan - Update 1. MSC.1-Cir.1595. 2018.
[3] International Maritime Organization, Strategy for the development and implementation of e-navigation. Report of the maritime safety committee on its eighty-fifth session (MSC 85/26/Add.1), Annex 20. 2009.
[4] International Maritime Organization, Strategy for the development and implementation of e-navigation. 2009.
[5] P. Van Hung, D. Q. Viet, N. M. Duc, and T. D. Le, “Ship routing optimization using bacterial foraging optimization algorithm for safety and efficient navigation,” Int J Electr Comput Eng, vol. 13, no. 2, pp. 2309-2315, 2023.
[6] N. M. Cuong and P. V. Hung, “An analysis of available solutions for commercial vessels to comply with IMO strategy on low sulphur,” J. Int. Marit. Saf. Environ. Aff. Shipp., vol. 4, no. 2, pp. 40-47, 2020.
[7] P. V. Hung, K.-S. Kim, and M. Lee, “Cooperative response to marine hazardous and noxious substances and oil spill incidents in the ASEAN region,” Aust. J. Marit. Ocean Aff., vol. 11, no. 1, pp. 61-72, 2019.
[8] H. P.V. and D. P.T., “Hệ thống giám sát và điều phối giao thông hàng hải giảm thiểu ô nhiễm không khí ở khu vực cảng Hải Phòng,” Tạp Chí KHCN Hàng Hải, vol. 81, no. tháng 1/2025, pp. 156-161, 2025.
[9] D. Giglio, V. Palma, and A. Tei, “Evaluating the operational and economic impact of the introduction of S-100 and e-Navigation within shipping companies,” Case Stud. Transp. Policy, vol. 19, pp. 101331, 2025.
[10] H. Fazlollahtabar, H. Eslami, and H. Salmani, “Designing a fuzzy expert system to evaluate alternatives in fuzzy analytic hierarchy process,” J. Softw. Eng. Appl., vol. 03, no. 04, pp. 409-418, 2010.
[11] T. Gao and S. Wang, “Fuzzy integrated evaluation based on HAZOP,” Procedia Eng., vol. 211, pp. 176-182, 2018.
[12] M. Shaverdi, M. R. Heshmati, and I. Ramezani, “Application of fuzzy AHP approach for financial performance evaluation of iranian petrochemical sector,” Procedia Comput. Sci., vol. 31, pp. 995–1004, 2014.
[13] C. E. A. Bundak et al, “Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system,” Alex. Eng. J., vol. 61, no. 5, pp. 3645-3655, 2022.
[14] Q. Jiang, X. Jin, S.-J. Lee, and S. Yao, “A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition,” Expert Syst. Appl., vol. 116, pp. 439-453, 2019.
[15] X. Ling and Y. Zhang, “Operations on triangle type-2 fuzzy sets,” Procedia Eng., vol. 15, pp. 3346-3350, 2011.
[16] L. A. Zadeh, “Fuzzy sets,” Inf. Control, vol. 8, no. 3, pp. 338–353, 1965.
[17] C. Kahraman, U. Cebeci, and D. Ruan, “Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey,” Int. J. Prod. Econ., vol. 87, no. 2, pp. 171-184, 2004.
[18] R. W. Saaty, “The analytic hierarchy process—what it is and how it is used,” Math. Model., vol. 9, no. 3, pp. 161-176, 1987.
[19] O. S. Vaidya and S. Kumar, “Analytic hierarchy process: An overview of applications,” Eur. J. Oper. Res., vol. 169, no. 1, pp. 1-29, 2006.
[20] T.-Y. Chou and G.-S. Liang, “Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation,” Marit. Policy Manag., vol. 28, no. 4, pp. 375-392, 2001.
[21] T. L. Saaty and L. G. Vargas, “The seven pillars of the analytic hierarchy process,” Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, pp. 23-40, in International Series in Operations Research & Management Science, Springer, 2012.
[22] D.-Y. Chang, “Applications of the extent analysis method on fuzzy AHP,” Eur. J. Oper. Res., vol. 95, no. 3, pp. 649-655, 1996.
[23] G. Büyüközkan, C. Kahraman, and D. Ruan, “A fuzzy multi-criteria decision approach for software development strategy selection,” Int. J. Gen. Syst., vol. 33, no. 2-3, pp. 259-280, 2004.