Application of hybrid fuzzy-TOPSIS approach in enhancing green logistics towards sustainable maritime

Pham, Thi Nga; Nguyen, Hoang Phuong; Nguyen, Van Nhanh; Sirichokpokin, Punarut; Hadiyanto, Hady; Rudzki, Krzysztof; Nguyen, Cao Thao Uyen; Bui, Viet Duc

doi:10.2478/pomr-2025-0030

Abstract

The marine sector is one of the main pillars of world trade but it greatly pollutes the environment. Therefore, sustainable maritime is emerging as a key tactic to lower greenhouse gas emissions and support green logistics. Indeed, the approaches, initiatives, and technical developments influencing the direction of sustainable shipping are investigated in this study. Along with developments in ecologically friendly vessel designs and energy-efficient propulsion systems, this research evaluates the applicability of alternative fuels, such as liquefied natural gas (LNG), hydrogen, ammonia, and biofuels, as green solutions for sustainable maritime and green logistics. Furthermore, the influence of regulatory systems is examined, including the guidelines established by the International Maritime Organisation on promoting sustainability in the maritime industry. A hybrid fuzzy-TOPSIS approach is used to determine what alternative fuel is the best and available to aid in the objectives of sustainable maritime and green logistics. As a result, the performance scores using the Fuzzy-TOPSIS approach show that Biofuels (A1) achieved the highest score (0.689), followed by hydrogen (A2) at 0.492. Ammonia (A3) and LNG (A4) scored 0.441 and 0.466, respectively, indicating that biofuels are the most preferred alternative for sustainable energy selection, in terms of sustainable maritime and green logistics.

References

Vu VV, Le PT, Do TMT, Nguyen TTH, Tran NBM, Paramasivam P, et al. An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation. JOIV Int J Informatics Vis 2024;8:158–74. https://doi.org/10.62527/joiv.8.1.2641.
Search in Google Scholar Back to article
Nguyen HP, Nguyen CTU, Tran TM, Dang QH, Pham NDK. Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices. JOIV Int J Informatics Vis 2024;8:1. https://doi.org/10.62527/joiv.8.1.2581.
Search in Google Scholar Back to article
Allianz Global Corporate & Specialty. Safety and Shipping Review 2015. 2015.
Search in Google Scholar Back to article
O’Leary BC, Fonseca C, Cornet CC, de Vries MB, Degia AK, Failler P. Embracing Nature-based Solutions to promote resilient marine and coastal ecosystems. Nature-Based Solut 2023;3:100044. https://doi.org/10.1016/j.nbsj.2022.100044.
Search in Google Scholar Back to article
Hoang AT, Tran VD, Dong VH, Le AT. An experimental analysis on physical properties and spray characteristics of an ultrasound-assisted emulsion of ultra-low-sulphur diesel and Jatropha-based biodiesel. J Mar Eng Technol 2022;21:73–81. https://doi.org/10.1080/20464177.2019.1595355.
Search in Google Scholar Back to article
Roh M-I, Lee K-Y. Computational Ship Design. Singapore: Springer Singapore; 2018. https://doi.org/10.1007/978-981-10-4885-2.
Search in Google Scholar Back to article
Tarelko W, Rudzki K. Applying artificial neural networks for modelling ship speed and fuel consumption. Neural Comput Appl 2020;32:17379–95. https://doi.org/10.1007/s00521-020-05111-2.
Search in Google Scholar Back to article
Han Y, Ma W, Ma D. Green maritime: An improved quantum genetic algorithm-based ship speed optimization method considering various emission reduction regulations and strategies. J Clean Prod 2023;385:135814. https://doi.org/10.1016/j.jclepro.2022.135814.
Search in Google Scholar Back to article
Vakili S, Ölçer AI, Schönborn A, Ballini F, Hoang AT. Energy‐related clean and green framework for shipbuilding community towards zero‐emissions: A strategic analysis from concept to case study. Int J Energy Res 2022;46:20624–49. https://doi.org/10.1002/er.7649.
Search in Google Scholar Back to article
Bjerkan KY, Seter H. Reviewing tools and technologies for sustainable ports: Does research enable decision making in ports? Transp Res Part D Transp Environ 2019;72:243–60. https://doi.org/10.1016/j.trd.2019.05.003.
Search in Google Scholar Back to article
Nguyen VN, Rudzki K, Marek D, Pham NDK, Pham MT, Nguyen PQP. Understanding fuel saving and clean fuel strategies towards green maritime. Polish Marit Res 2023;30:146–64. https://doi.org/10.2478/pomr-2023-0030.
Search in Google Scholar Back to article
Wang C, Wang L. Green investment and vertical alliances in the maritime supply chain. Environ Dev Sustain 2023;25:6657–87. https://doi.org/10.1007/s10668-022-02322-6.
Search in Google Scholar Back to article
Yang C-S. Evaluating the use of alternative maritime power in Taiwan. Marit Bus Rev 2016;1:208–24. https://doi.org/10.1108/MABR-08-2016-0016.
Search in Google Scholar Back to article
Yu H, Fang Z, Fu X, Liu J, Chen J. Literature review on emission control-based ship voyage optimization. Transp Res Part D Transp Environ 2021;93:102768. https://doi.org/10.1016/j.trd.2021.102768.
Search in Google Scholar Back to article
Ashrafi M, Lister J, Gillen D. Toward a harmonization of sustainability criteria for alternative marine fuels. Marit Transp Res 2022;3:100052. https://doi.org/10.1016/j.martra.2022.100052.
Search in Google Scholar Back to article
Durán C, Yazdi AK, Derpich I, Tan Y. Leveraging Blockchain for Maritime Port Supply Chain Management through Multicriteria Decision Making. Mathematics 2024;12:1511. https://doi.org/10.3390/math12101511.
Search in Google Scholar Back to article
Singh S, Dwivedi A, Pratap S. Sustainable Maritime Freight Transportation: Current Status and Future Directions. Sustainability 2023;15:6996. https://doi.org/10.3390/su15086996.
Search in Google Scholar Back to article
Efimova A, Saini M. Assessing carbon emissions reduction by incorporating automated monitoring system during transit: a case study. Acta Logist 2023;10:79–88. https://doi.org/10.22306/al.v10i1.357.
Search in Google Scholar Back to article
Garg CP, Kashav V, Wang X. Evaluating sustainability factors of green ports in China under fuzzy environment. Environ Dev Sustain 2023;25:7795–821. https://doi.org/10.1007/s10668-022-02375-7.
Search in Google Scholar Back to article
Syahrianda DA, Suadi S, Djumanto D. Service excellence at sea: User satisfaction with Belawan Samudera Fishing Port, Indonesia. Marit Technol Res 2024;7:270067. https://doi.org/10.33175/mtr.2025.270067.
Search in Google Scholar Back to article
Wu X, Zhang L, Luo M. Current strategic planning for sustainability in international shipping. Environ Dev Sustain 2020;22:1729–47. https://doi.org/10.1007/s10668-018-00303-2.
Search in Google Scholar Back to article
Rudzki K, Gomulka P, Hoang AT. Optimization Model to Manage Ship Fuel Consumption and Navigation Time. Polish Marit Res 2022;29:141–53. https://doi.org/10.2478/pomr-2022-0034.
Search in Google Scholar Back to article
Nguyen VN, Chung N, Balaji GN, Rudzki K, Hoang AT. Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction. Alexandria Eng J 2025;118:664–80. https://doi.org/10.1016/j.aej.2025.01.067.
Search in Google Scholar Back to article
Zhu M, Yuen KF, Ge JW, Li KX. Impact of maritime emissions trading system on fleet deployment and mitigation of CO2 emission. Transp Res Part D Transp Environ 2018;62:474–88. https://doi.org/10.1016/j.trd.2018.03.016.
Search in Google Scholar Back to article
Clydebank Declaration. COP26: Clydebank Declaration for green shipping corridors. 2023.
Search in Google Scholar Back to article
Hoang AT, Sandro Nižetić, Olcer AI, Ong HC, Chen W-H, Chong CT, Thomas S, Bandh SA, Nguyen XP. Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications. Energy Policy 2021;154:112322. https://doi.org/10.1016/j.enpol.2021.112322.
Search in Google Scholar Back to article
Agarwala N. Is hydrogen a decarbonizing fuel for maritime shipping? Marit Technol Res 2024;6:271244. https://doi.org/10.33175/mtr.2024.271244.
Search in Google Scholar Back to article
Tan ECD, Hawkins TR, Lee U, Tao L, Meyer PA, Wang M, et al. Biofuel Options for Marine Applications: Technoeconomic and Life-Cycle Analyses. Environ Sci Technol 2021;55:7561–70. https://doi.org/10.1021/acs.est.0c06141.
Search in Google Scholar Back to article
van der Kroft DFA, Pruyn JFJ. A Study into the Availability, Costs and GHG Reduction in Drop-In Biofuels for Shipping under Different Regimes between 2020 and 2050. Sustainability 2021;13:9900. https://doi.org/10.3390/su13179900.
Search in Google Scholar Back to article
Liu Z, Liu C, Hou Y, Chen S, Xiao D, Zhang J, et al. Isolation and Characterization of a Marine Microalga for Biofuel Production with Astaxanthin as a Co-Product. Energies 2013;6:2759–72. https://doi.org/10.3390/en6062759.
Search in Google Scholar Back to article
Balcombe P, Staffell I, Kerdan IG, Speirs JF, Brandon NP, Hawkes AD. How can LNG-fuelled ships meet decarbonisation targets? An environmental and economic analysis. Energy 2021;227:120462. https://doi.org/10.1016/j.energy.2021.120462.
Search in Google Scholar Back to article
Lee H-J, Yoo S-H, Huh S-Y. Economic benefits of introducing LNG-fuelled ships for imported flour in South Korea. Transp Res Part D Transp Environ 2020;78:102220. https://doi.org/10.1016/j.trd.2019.102220.
Search in Google Scholar Back to article
Fernández IA, Gómez MR, Gómez JR, López-González LM. Generation of H2 on Board Lng Vessels for Consumption in the Propulsion System. Polish Marit Res 2020;27:83–95. https://doi.org/10.2478/pomr-2020-0009.
Search in Google Scholar Back to article
Olszewski W, Dzida M, Nguyen VG, Cao DN. Reduction of CO2 Emissions from Offshore Combined Cycle Diesel Engine-Steam Turbine Power Plant Powered by Alternative Fuels. Polish Marit Res 2023;30:71–80. https://doi.org/10.2478/pomr-2023-0040.
Search in Google Scholar Back to article
Lim T-W, Hwang D-H, Choi Y-S. Design and optimization of a steam methane reformer for ship-based hydrogen production on LNG-fueled ship. Appl Therm Eng 2024;243:122588. https://doi.org/10.1016/j.applthermaleng.2024.122588.
Search in Google Scholar Back to article
Naquash A, Riaz A, Qyyum MA, Aziz M, Assareh E, Lee M. Liquid hydrogen storage and regasification process integrated with LNG, NGL, and liquid helium production. Renew Energy 2023;213:165–75. https://doi.org/10.1016/j.renene.2023.05.122.
Search in Google Scholar Back to article
Nguyen VG, Tran MH, Paramasivam P, Le HC, Nguyen DT. Biomass: A Versatile Resource for Biofuel, Industrial, and Environmental Solution. Int J Adv Sci Eng Inf Technol 2024;14:268–86. https://doi.org/10.18517/ijaseit.14.1.17489.
Search in Google Scholar Back to article
Jeyakumar N, Hoang AT, Nižetić S, Balasubramanian D, Kamaraj S, Lakshmana Pandian P. Experimental investigation on simultaneous production of bioethanol and biodiesel from macro-algae. Fuel 2022;329:125362. https://doi.org/10.1016/j.fuel.2022.125362.
Search in Google Scholar Back to article
Le TT, Kumar R, Roy MK, Mishra MK, Mahto PK, Balasubramanian D, et al. An Experimental Assessment of Waste Transformer Oil and Palm Oil Biodiesel Blended with Diesel Fuel on A Single Cylinder Direct in Diesel Engine. Int J Adv Sci Eng Inf Technol 2024;14:246–58. https://doi.org/10.18517/ijaseit.14.1.15998.
Search in Google Scholar Back to article
Hoang AT, Sirohi R, Pandey A, Nižetić S, Lam SS, Chen W-H, et al. Biofuel production from microalgae: challenges and chances. Phytochem Rev 2023;22:1089–1126. https://doi.org/10.1007/s11101-022-09819-y.
Search in Google Scholar Back to article
Baldelli M, Bartolucci L, Cordiner S, De Maina E, Mulone V. Toward carbon neutral fuels: Process analysis of integrated biomass conversion routes for sustainable biofuels production. Energy 2025;324:136077. https://doi.org/10.1016/j.energy.2025.136077.
Search in Google Scholar Back to article
Carlson NA, Talmadge MS, Tan ECD, Newes EK, McCormick RL. Refinery Perspective on Decarbonizing with Marine Biofuels. Energy & Fuels 2023;37:14411–20. https://doi.org/10.1021/acs.energyfuels.3c02460.
Search in Google Scholar Back to article
Tanzer SE, Posada J, Geraedts S, Ramírez A. Lignocellulosic marine biofuel: Technoeconomic and environmental assessment for production in Brazil and Sweden. J Clean Prod 2019;239:117845. https://doi.org/10.1016/j.jclepro.2019.117845.
Search in Google Scholar Back to article
Chiriboga G, De La Rosa A, Molina C, Velarde S, Carvajal C G. Energy Return on Investment (EROI) and Life Cycle Analysis (LCA) of biofuels in Ecuador. Heliyon 2020;6:e04213. https://doi.org/10.1016/j.heliyon.2020.e04213.
Search in Google Scholar Back to article
Samsó R, Crespin J, García-Olivares A, Solé J. Examining the Potential of Marine Renewable Energy: A Net Energy Perspective. Sustainability 2023;15:8050. https://doi.org/10.3390/su15108050.
Search in Google Scholar Back to article
Boretti A, Banik BK. Advances in Hydrogen Production from Natural Gas Reforming. Adv Energy Sustain Res 2021;2. https://doi.org/10.1002/aesr.202100097.
Search in Google Scholar Back to article
Hoang AT, Huang Z, Nižetić S, Pandey A, Nguyen XP, Luque R,. Characteristics of hydrogen production from steam gasification of plant-originated lignocellulosic biomass and its prospects in Vietnam. Int J Hydrogen Energy 2022;47:4394–425. https://doi.org/10.1016/j.ijhydene.2021.11.091.
Search in Google Scholar Back to article
Hoang AT, Pandey A, Chen W-H, Ahmed SF, Nižetić S, Ng KH. Hydrogen Production by Water Splitting with Support of Metal and Carbon-Based Photocatalysts. ACS Sustain Chem Eng 2023;11:1221–52. https://doi.org/10.1021/acssuschemeng.2c05226.
Search in Google Scholar Back to article
Le TT, Jain A, El-Shafay AS, Bora BJ, Sharma P, Nguyen XP, Duong XQ, Torres PM, Hoang AT. Comprehensive analysis of waste-to-hydrogen technologies integrated with circular economy principles: Potential and challenges. Int J Hydrogen Energy 2025. https://doi.org/10.1016/j.ijhydene.2025.01.048.
Search in Google Scholar Back to article
Lindorfer J, Rosenfeld DC, Böhm H. Fuel Cells. Futur. Energy, Elsevier; 2020, p. 495–517. https://doi.org/10.1016/B978-0-08-102886-5.00023-2.
Search in Google Scholar Back to article
Sharma P, Jain A, Bora BJ, Balakrishnan D, Show PL, Ramaraj R. Application of modern approaches to the synthesis of biohydrogen from organic waste. Int J Hydrogen Energy 2023;48:21189–213. https://doi.org/10.1016/j.ijhydene.2023.03.029.
Search in Google Scholar Back to article
Hoang AT, Pandey A, Lichtfouse E, Bui VG, Veza I, Nguyen HL. Green hydrogen economy: Prospects and policies in Vietnam. Int J Hydrogen Energy 2023;48:31049–62. https://doi.org/10.1016/j.ijhydene.2023.05.306.
Search in Google Scholar Back to article
Kovač A, Paranos M, Marciuš D. Hydrogen in energy transition: A review. Int J Hydrogen Energy 2021;46:10016–35 https://doi.org/10.1016/j.ijhydene.2020.11.256.
Search in Google Scholar Back to article
Lee J-S, Cherif A, Yoon H-J, Seo S-K, Bae J-E, Shin H-J, et al. Large-scale overseas transportation of hydrogen: Comparative techno-economic and environmental investigation. Renew Sustain Energy Rev 2022;165:112556. https://doi.org/10.1016/j.rser.2022.112556.
Search in Google Scholar Back to article
Bicer Y, Dincer I. Environmental impact categories of hydrogen and ammonia driven transoceanic maritime vehicles: A comparative evaluation. Int J Hydrogen Energy 2018;43:4583–96. https://doi.org/10.1016/j.ijhydene.2017.07.110.
Search in Google Scholar Back to article
Nguyen XP, Bora BJ, Ölçer AI, Sharma P, Nguyen VN, Cao DN. Effect of compression ratio on dual-fuel diesel engine fueled with ammonia: Experimental and statistical analysis. Process Saf Environ Prot 2025;195:106810. https://doi.org/10.1016/j.psep.2025.106810.
Search in Google Scholar Back to article
Ahmed S, Li T, Yi P, Chen R. Environmental impact assessment of green ammonia-powered very large tanker ship for decarbonized future shipping operations. Renew Sustain Energy Rev 2023;188:113774. https://doi.org/10.1016/j.rser.2023.113774.
Search in Google Scholar Back to article
Gerlitz L, Mildenstrey E, Prause G. Ammonia as Clean Shipping Fuel for the Baltic Sea Region. Transp Telecommun J 2022;23:102–12. https://doi.org/10.2478/ttj-2022-0010.
Search in Google Scholar Back to article
Salmon N, Bañares-Alcántara R. A global, spatially granular techno-economic analysis of offshore green ammonia production. J Clean Prod 2022;367:133045. https://doi.org/10.1016/j.jclepro.2022.133045.
Search in Google Scholar Back to article
Ye M, Sharp P, Brandon N, Kucernak A. System-level comparison of ammonia, compressed and liquid hydrogen as fuels for polymer electrolyte fuel cell powered shipping. Int J Hydrogen Energy 2022;47:8565–84. https://doi.org/10.1016/j.ijhydene.2021.12.164.
Search in Google Scholar Back to article
Chen W, Wang H, Liu X. Experimental investigation of the aerodynamic performance of Flettner rotors for marine applications. Ocean Eng 2023;281:115006. https://doi.org/10.1016/j.oceaneng.2023.115006.
Search in Google Scholar Back to article
Seddiek IS, Ammar NR. Harnessing wind energy on merchant ships: case study Flettner rotors onboard bulk carriers. Environ Sci Pollut Res 2021;28:32695–707. https://doi.org/10.1007/s11356-021-12791-3.
Search in Google Scholar Back to article
Traut M, Gilbert P, Walsh C, Bows A, Filippone A, Stansby P, et al. Propulsive power contribution of a kite and a Flettner rotor on selected shipping routes. Appl Energy 2014. https://doi.org/10.1016/j.apenergy.2013.07.026.
Search in Google Scholar Back to article
Vidović T, Šimunović J, Radica G, Penga Ž. Systematic Overview of Newly Available Technologies in the Green Maritime Sector. Energies 2023;16:641. https://doi.org/10.3390/en16020641.
Search in Google Scholar Back to article
Rudzki K, Tarelko W. A decision-making system supporting selection of commanded outputs for a ship’s propulsion system with a controllable pitch propeller. Ocean Eng 2016;126:254–64. https://doi.org/10.1016/j.oceaneng.2016.09.018.
Search in Google Scholar Back to article
Kołodziej R, Hoffmann P. Determination of Propeller-Rudder-Hull Interaction Coefficients in Ship Manoeuvring Prediction. Polish Marit Res 2024;31:15–24. https://doi.org/10.2478/pomr-2024-0032.
Search in Google Scholar Back to article
Nguyen PQP, Nguyen DT, Yen NHT, Le Q, Nguyen NT, Khoa Pham ND. Machine Learning-Driven Insights for Optimizing Ship Fuel Consumption: Predictive Modeling and Operational Efficiency. Int J Adv Sci Eng Inf Technol 2025;15:27–35. https://doi.org/10.18517/ijaseit.15.1.12374.
Search in Google Scholar Back to article
Ghaemi MH, Zeraatgar H. Impact of Propeller Emergence on Hull, Propeller, Engine, and Fuel Consumption Performance in Regular Head Waves. Polish Marit Res 2022;29:56–76. https://doi.org/10.2478/pomr-2022-0044.
Search in Google Scholar Back to article
Nakielski J. Analysis of the Environmental Impact of the Hull Construction of a Small Vessel Based on LCA. Polish Marit Res 2023;30:54–60. https://doi.org/doi:10.2478/pomr-2023-0058.
Search in Google Scholar Back to article
Huynh VC, Tran GT. Improving the accuracy of ship resistance prediction using computational fluid dynamics tool. Int J Adv Sci Eng Inf Technol 2020;10:171–7. https://doi.org/10.18517/ijaseit.10.1.10588.
Search in Google Scholar Back to article
Peng H, Zhu X, Yang L, Zhang G. Robust controller design for marine electric propulsion system over controller area network. Control Eng Pract 2020;101:104512. https://doi.org/10.1016/j.conengprac.2020.104512.
Search in Google Scholar Back to article
Zhang X, Xu X, Xu X, Hou P, Gao H, Ma F. Intelligent Adaptive PID Control for the Shaft Speed of a Marine Electric Propulsion System Based on the Evidential Reasoning Rule. Mathematics 2023;11:1145. https://doi.org/10.3390/math11051145.
Search in Google Scholar Back to article
Nguyen HP, Hoang AT, Nizetic S, Nguyen XP, Le AT, Luong CN. The electric propulsion system as a green solution for management strategy of CO2 emission in ocean shipping: A comprehensive review. Int Trans Electr Energy Syst 2021;31:e12580. https://doi.org/10.1002/2050-7038.12580.
Search in Google Scholar Back to article
Wang S, Dai J, Wang J, Li R, Wang J, Xu Z. Numerical calculation of high-strength-steel saddle plate forming suitable for lightweight construction of ships. Materials (Basel) 2023;16:3848.
Search in Google Scholar Back to article
Xiong J, Gong C, Wu Q, Ma L, Yang J, Wu L. Design, fabrication, and dynamic mechanical responses of fiber‐ reinforced composite lattice materials. Int J Mech Syst Dyn 2023;3:213–28. https://doi.org/10.1002/msd2.12085.
Search in Google Scholar Back to article
Nguyen VN, Nguyen AX, Nguyen DT, Le HC, Nguyen VP. A Comprehensive Understanding of Bainite Phase Transformation Mechanism in TRIP Bainitic-supported Ferrite Steel. Int J Adv Sci Eng Inf Technol 2024;14:309–25. https://doi.org/10.18517/ijaseit.14.1.19706.
Search in Google Scholar Back to article
Hoang AT. Waste heat recovery from diesel engines based on Organic Rankine Cycle. Appl Energy 2018;231:138–66. https://doi.org/10.1016/j.apenergy.2018.09.022.
Search in Google Scholar Back to article
Nguyen TH, Duong XQ, Bui VH, Rudzki K, Nguyen VN, Hai TT. Exhaust Gas Heat Recovery from a Marine Engine Using a Thermal Oil System. Polish Marit Res 2024;31:89–99. https://doi.org/10.2478/pomr-2024-0053.
Search in Google Scholar Back to article
Tuswan T, Ismail A, Zubaydi A, Piscesa B, Sukma NPLS. A critical review on structural testing and assessment of lightweight sandwich structure for ship structure application, 2023, p. 030031. https://doi.org/10.1063/5.0116355.
Search in Google Scholar Back to article
Ang J, Goh C, Saldivar A, Li Y. Energy-Efficient Through-Life Smart Design, Manufacturing and Operation of Ships in an Industry 4.0 Environment. Energies 2017;10:610. https://doi.org/10.3390/en10050610.
Search in Google Scholar Back to article
Zhou J, Wang H. Study on efficient removal of SOx and NOx from marine exhaust gas by wet scrubbing method using urea peroxide solution. Chem Eng J 2020;390:124567. https://doi.org/10.1016/j.cej.2020.124567.
Search in Google Scholar Back to article
Kwak J-S, Jung DH, Ko G, Kwon JG, Kim SH, Jee J-H. Performance Assessment of an Exhaust Gas CO2 Absorption (EGCA) System Installed on a 1.075-MW HiMSEN 5H22CDF Engine. Fuel 2024;358:130082. https://doi.org/10.1016/j.fuel.2023.130082.
Search in Google Scholar Back to article
Zhou J, Zhou S, Zhu Y. Characterization of Particle and Gaseous Emissions from Marine Diesel Engines with Different Fuels and Impact of After-Treatment Technology. Energies 2017;10:1110. https://doi.org/10.3390/en10081110.
Search in Google Scholar Back to article
ABS. Abs Advisory on Exhaust Gas Scrubber Systems. Rep by ABS 2017:1–45.
Search in Google Scholar Back to article
Wang Z, Kuang H, Zhang J, Chu L, Ji Y. Nitrogen oxide removal by non-thermal plasma for marine diesel engines. RSC Adv 2019;9:5402–16. https://doi.org/10.1039/C8RA09217F.
Search in Google Scholar Back to article
Hoang AT, Foley AM, Nižetić S, Huang Z, Ong HC, Ölçer AI. Energy-related approach for reduction of CO2 emissions: A critical strategy on the port-to-ship pathway. J Clean Prod 2022;355:131772. https://doi.org/10.1016/j.jclepro.2022.131772.
Search in Google Scholar Back to article
Villalba G, Gemechu ED. Estimating GHG emissions of marine ports—the case of Barcelona. Energy Policy 2011;39:1363–8.
Search in Google Scholar Back to article
Zhu N, Hong Y, Cai Y, Dong F, Song J. The Removal of CH4 and NOx from Marine LNG Engine Exhaust by NTP Combined with Catalyst: A Review. Materials (Basel) 2023;16:4969. https://doi.org/10.3390/ma16144969.
Search in Google Scholar Back to article
Ben-Hakoun E, Van De Voorde E, Shiftan Y. Trends in Emission Inventory of Marine Traffic for Port of Haifa. Sustainability 2022;14:908. https://doi.org/10.3390/su14020908.
Search in Google Scholar Back to article
Borén C, Grifoll M, Castells-Sanabra M. Emissions Assessment of Container Ships Sailing under Off-Design Conditions. J Mar Sci Eng 2023;11:1983. https://doi.org/10.3390/jmse11101983.
Search in Google Scholar Back to article
Atak Ü, Arslanoğlu Y. Machine learning methods for predicting marine port accidents: a case study in container terminal. Ships Offshore Struct 2022;17:2480–7. https://doi.org/10.1080/17445302.2021.2003067.
Search in Google Scholar Back to article
Cheliotis M, Lazakis I, Cheliotis A. Bayesian and machine learning-based fault detection and diagnostics for marine applications. Ships Offshore Struct 2022;17:2686–98. https://doi.org/10.1080/17445302.2021.2012015.
Search in Google Scholar Back to article
Yuksel O, Bayraktar M, Sokukcu M. Comparative study of machine learning techniques to predict fuel consumption of a marine diesel engine. Ocean Eng 2023;286:115505. https://doi.org/10.1016/j.oceaneng.2023.115505.
Search in Google Scholar Back to article
Kim Y-R, Jung M, Park J-B. Development of a Fuel Consumption Prediction Model Based on Machine Learning Using Ship In-Service Data. J Mar Sci Eng 2021;9:137. https://doi.org/10.3390/jmse9020137.
Search in Google Scholar Back to article
Nguyen VG, Rajamohan S, Rudzki K, Kozak J, Sharma P, Pham NDK. Using Artificial Neural Networks for Predicting Ship Fuel Consumption. Polish Marit Res 2023;30:39–60. https://doi.org/10.2478/pomr-2023-0020.
Search in Google Scholar Back to article
Gómez Ruiz MÁ, de Almeida IM, Pérez Fernández R. Application of Machine Learning Techniques to the Maritime Industry. J Mar Sci Eng 2023;11:1820. https://doi.org/10.3390/jmse11091820.
Search in Google Scholar Back to article
Nga PTH, Park Y Il, Park SH, Yeo GT. Who are the beneficiaries and stakeholders of blockchain commercialization in the shipping industry? J Navig Port Res 2020;44:79–87.
Search in Google Scholar Back to article
Hu Q, Han W, Zhang H. Ship identity authentication security model based on Blockchain. 2021 4th Int. Conf. Data Sci. Inf. Technol., New York, NY, USA: ACM; 2021, p. 135–42. https://doi.org/10.1145/3478905.3478933.
Search in Google Scholar Back to article
Pu S, Lam JSL. A game theoretic approach of optimal adoption time of blockchain: A case of ship operators. Comput Ind Eng 2022;169:108219. https://doi.org/10.1016/j.cie.2022.108219.
Search in Google Scholar Back to article
Qin Z, Ye J, Meng J, Lu B, Wang L. Privacy-Preserving Blockchain-Based Federated Learning for Marine Internet of Things. IEEE Trans Comput Soc Syst 2022;9:159–73. https://doi.org/10.1109/TCSS.2021.3100258.
Search in Google Scholar Back to article
Stephane I, Saputra H, Alhaj N, Putra LM. Utilization of Blockchain for Marine Products Tracking. Indones J Comput Sci 2022;11. https://doi.org/10.33022/ijcs.v11i2.3075.
Search in Google Scholar Back to article
Czermański E, Oniszczuk-Jastrząbek A, Spangenberg EF, Kozłowski Ł, Adamowicz M, Jankiewicz J. Implementation of the Energy Efficiency Existing Ship Index: An important but costly step towards ocean protection. Mar Policy 2022;145:105259. https://doi.org/10.1016/j.marpol.2022.105259.
Search in Google Scholar Back to article
Xu S, Liu Y. Research on the impact of carbon finance on the green transformation of China’s marine industry. J Clean Prod 2023;418:138143. https://doi.org/10.1016/j.jclepro.2023.138143.
Search in Google Scholar Back to article
Chuah LF, Mokhtar K, Mhd Ruslan SM, Bakar AA, Abdullah MA, Osman NH. Implementation of the energy efficiency existing ship index and carbon intensity indicator on domestic ship for marine environmental protection. Environ Res 2023;222:115348. https://doi.org/10.1016/j.envres.2023.115348.
Search in Google Scholar Back to article
Tzu F-M, Su D-T. Evaluation of carbon dioxide emission based on energy efficiency existing ship index during oceanographic navigation. J Oper Oceanogr 2024;17:151–64. https://doi.org/10.1080/1755876X.2023.2254133.
Search in Google Scholar Back to article
Ruiz Zardoya A, Oregui Bengoetxea I, Lopez Martinez A, Loroño Lucena I, Orosa JA. Methodological Design Optimization of a Marine LNG Internal Combustion Gas Engine to Burn Alternative Fuels. J Mar Sci Eng 2023;11:1194. https://doi.org/10.3390/jmse11061194.
Search in Google Scholar Back to article
Xing H, Stuart C, Spence S, Chen H. Alternative fuel options for low carbon maritime transportation: Pathways to 2050. J Clean Prod 2021;297:126651. https://doi.org/10.1016/j.jclepro.2021.126651.
Search in Google Scholar Back to article
Köhl M, Linser S, Prins K, Talarczyk A. The EU climate package “Fit for 55” - a double-edged sword for Europeans and their forests and timber industry. For Policy Econ 2021;132:102596. https://doi.org/10.1016/j.forpol.2021.102596.
Search in Google Scholar Back to article
Schlacke S, Wentzien H, Thierjung E-M, Köster M. Implementing the EU Climate Law via the ‘Fit for 55’ package. Oxford Open Energy 2022;1. https://doi.org/10.1093/ooenergy/oiab002.
Search in Google Scholar Back to article
Zheng Y, Yin W, Zhang W, Liang J, Liu K, Wang K. A Forecasting Method for Macro-Control Policy of Heating Energy Consumption and Carbon Emissions Based on Building Area and Energy Intensity: A Case Study of Northern China. Energies 2022;15:1153. https://doi.org/10.3390/en15031153.
Search in Google Scholar Back to article
Zhu X, He H, Lu K, Peng Z, Gao HO. Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems. J Clean Prod 2022;378:134458. https://doi.org/10.1016/j.jclepro.2022.134458.
Search in Google Scholar Back to article
Ash N, Scarbrough T. Sailing on solar: Could green ammonia decarbonise international shipping. Environ Def Fund London, UK 2019.
Search in Google Scholar Back to article
Sköld S. Green Port Dues—Indices and Incentive Schemes for Shipping. Green Ports, Elsevier; 2019, p. 173–92. https://doi.org/10.1016/B978-0-12-814054-3.00009-8.
Search in Google Scholar Back to article
Goh SH. The impact of foldable ocean containers on back haul shippers and carbon emissions. Transp Res Part D Transp Environ 2019;67:514–27. https://doi.org/10.1016/j.trd.2019.01.003.
Search in Google Scholar Back to article
Dirzka C, Acciaro M. Principal-agent problems in decarbonizing container shipping: A panel data analysis. Transp Res Part D Transp Environ 2021;98:102948. https://doi.org/10.1016/j.trd.2021.102948.
Search in Google Scholar Back to article
Harichandan S, Kar SK, Rai PK. A systematic and critical review of green hydrogen economy in India. Int J Hydrogen Energy 2023;48:31425–42. https://doi.org/10.1016/j.ijhydene.2023.04.316.
Search in Google Scholar Back to article
Ferraro G, Failler P. Governing plastic pollution in the oceans: Institutional challenges and areas for action. Environ Sci Policy 2020;112:453–60. https://doi.org/10.1016/j.envsci.2020.06.015.
Search in Google Scholar Back to article
Zhang H. Towards global green shipping: the development of international regulations on reduction of GHG emissions from ships. Int Environ Agreements Polit Law Econ 2016;16:561–77. https://doi.org/10.1007/s10784-014-9270-5.
Search in Google Scholar Back to article
Kukreja V. Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning. Complex Intell Syst 2023;9:493–513. https://doi.org/10.1007/s40747-022-00807-5.
Search in Google Scholar Back to article
Norouzi A, Ghayur Namin H. A Hybrid Fuzzy TOPSIS – Best Worst Method for Risk Prioritization in Megaprojects. Civ Eng J 2019;5:1257–72. https://doi.org/10.28991/cej-2019-03091330.
Search in Google Scholar Back to article
Bhattacherjee A, Kukreja V, Aggarwal A. Stakeholders’ perspective towards employability: a hybrid fuzzy AHPTOPSIS Approach. Educ Inf Technol 2024;29:2157–81. https://doi.org/10.1007/s10639-023-11858-7.
Search in Google Scholar Back to article
Velmurugan K, Saravanasankar S, Venkumar P, Sudhakarapandian R, Bona G Di. Hybrid fuzzy AHPTOPSIS framework on human error factor analysis: Implications to developing optimal maintenance management system in the SMEs. Sustain Futur 2022;4:100087. https://doi.org/10.1016/j.sftr.2022.100087.
Search in Google Scholar Back to article
Cantillo J, Martin JC, Román C. A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28. Br Food J 2020;122:3403–17. https://doi.org/10.1108/BFJ-12-2019-0884.
Search in Google Scholar Back to article
Sequeira M, Adlemo A, Hilletofth P. A hybrid fuzzy-AHPTOPSIS model for evaluation of manufacturing relocation decisions. Oper Manag Res 2023;16:164–91. https://doi.org/10.1007/s12063-022-00284-6.
Search in Google Scholar Back to article
Alghassab M. Quantitative assessment of sustainable renewable energy through soft computing: Fuzzy AHPTOPSIS method. Energy Reports 2022;8:12139–52. https://doi.org/10.1016/j.egyr.2022.09.049.
Search in Google Scholar Back to article
Ekmekcioğlu Ö, Koc K, Özger M. Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey. Int J Disaster Risk Reduct 2021;60:102327. https://doi.org/10.1016/j.ijdrr.2021.102327.
Search in Google Scholar Back to article
Collan M, Fedrizzi M, Luukka P. New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Adv Fuzzy Syst 2015;2015:1–12. https://doi.org/10.1155/2015/251646.
Search in Google Scholar Back to article
Dwivedi G, Srivastava RK, Srivastava SK. A generalised fuzzy TOPSIS with improved closeness coefficient. Expert Syst Appl 2018;96:185–95. https://doi.org/10.1016/j.eswa.2017.11.051.
Search in Google Scholar Back to article
Hoang AT, Pandey A, Martinez De Osés FJ, Chen W-H, Said Z, Ng KH. Technological solutions for boosting hydrogen role in decarbonization strategies and net-zero goals of world shipping: Challenges and perspectives. Renew Sustain Energy Rev 2023;188:113790. https://doi.org/10.1016/j.rser.2023.113790.
Search in Google Scholar Back to article
Li J-C, Xu H, Zhou K, Li J-Q. A review on the research progress and application of compressed hydrogen in the marine hydrogen fuel cell power system. Heliyon 2024;10:e25304. https://doi.org/10.1016/j.heliyon.2024.e25304.
Search in Google Scholar Back to article
Alam SB, Ridwan T, Kumar D, Almutairi B, Goodwin C, Parks GT. Small modular reactor core design for civil marine propulsion using micro-heterogeneous duplex fuel. Part II: whole-core analysis. Nucl Eng Des 2019;346:176–91. https://doi.org/10.1016/j.nucengdes.2019.03.004.
Search in Google Scholar Back to article
Idrissi A El, Haidine A, Aqqal A, Dahbi A. Deployment Strategies of Mobile Networks for Internet-of-Things in Smart Maritime Ports. 2022 11th Int. Symp. Signal, Image, Video Commun., IEEE; 2022, p. 1–6. https://doi.org/10.1109/ISIVC54825.2022.9800728.
Search in Google Scholar Back to article
Vu VV, Le PT, Do TMT, Nguyen TTH, Tran NBM, Paramasivam P. An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation. JOIV Int J Informatics Vis 2024;8:158. https://doi.org/10.62527/joiv.8.1.2641.
Search in Google Scholar Back to article
Agarwala Ni. Managing Marine Environmental Pollution using Artificial Intelligence. Marit Technol Res 2021;3:Manuscript. https://doi.org/10.33175/mtr.2021.248053.
Search in Google Scholar Back to article
García Márquez FP, Papaelias M, Marini S. Artificial Intelligence in Marine Science and Engineering. J Mar Sci Eng 2022;10:711. https://doi.org/10.3390/jmse10060711.
Search in Google Scholar Back to article
Nguyen HP, Nguyen PQP, Nguyen DKP, Bui VD, Nguyen DT. Application of IoT Technologies in Seaport Management. JOIV Int J Informatics Vis 2023;7:228–40. https://doi.org/10.30630/joiv.7.1.1697.
Search in Google Scholar Back to article
Cheung K-F, Bell MGH. Improving connectivity of compromised digital networks via algebraic connectivity maximisation. Eur J Oper Res 2021;294:353–64. https://doi.org/10.1016/j.ejor.2021.01.015.
Search in Google Scholar Back to article
Xu A, Qian F, Ding H, Zhang X. Digitalization of logistics for transition to a resource-efficient and circular economy. Resour Policy 2023;83:103616. https://doi.org/10.1016/j.resourpol.2023.103616.
Search in Google Scholar Back to article
Barykin SE, Sergeev SM, Vasilyevich Provotorov V, Lavskaya K, Shidlovskaya KA, Dedyukhina N. Sustainability Analysis of Energy Resources Transport Based on A Digital N-D Logistics Network. Eng Sci 2024. https://doi.org/10.30919/es1093.
Search in Google Scholar Back to article
Bui VD, Nguyen HP. A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management. Int J Adv Sci Eng Inf Technol 2021;11:1067–1077. https://doi.org/10.18517/ijaseit.11.3.15350.
Search in Google Scholar Back to article
Liu M, Liu R, Zhang E, Chu C. Eco-friendly container transshipment route scheduling problem with repacking operations. J Comb Optim 2022;43:1010–35. https://doi.org/10.1007/s10878-020-00619-8.
Search in Google Scholar Back to article
Sturla-Zerene G, Figueroa B E, Sturla M. Reducing GHG global emissions from copper refining and sea shipping of Chile’s mining exports: A world win-win policy. Resour Policy 2020;65:101565. https://doi.org/10.1016/j.resourpol.2019.101565.
Search in Google Scholar Back to article
Chen J, Kang S, Wu A, Chen L. Projected emissions and climate impacts of Arctic shipping along the Northern Sea Route. Environ Pollut 2024;341:122848. https://doi.org/10.1016/j.envpol.2023.122848.
Search in Google Scholar Back to article
Bernardini A, Lavagnini I, Dall’Armi C, Pivetta D, Taccani R, Cadenaro F. The REShiP Project: Renewable Energy for Ship Propulsion, 2022. https://doi.org/10.3233/PMST220081.
Search in Google Scholar Back to article
Gao S, Xin X, Li C, Liu Y, Chen K. Container ocean shipping network design considering carbon tax and choice inertia of cargo owners. Ocean Coast Manag 2022;216:105986. https://doi.org/10.1016/j.ocecoaman.2021.105986.
Search in Google Scholar Back to article
Acciaro M, Sys C. Innovation in the maritime sector: aligning strategy with outcomes. Marit Policy Manag 2020;47:1045–63. https://doi.org/10.1080/03088839.2020.1737335.
Search in Google Scholar Back to article
Venkatesh VG, Zhang A, Luthra S, Dubey R, Subramanian N, Mangla S. Barriers to coastal shipping development: An Indian perspective. Transp Res Part D Transp Environ 2017;52:362–78. https://doi.org/10.1016/j.trd.2017.03.016.
Search in Google Scholar Back to article
Eom J-O, Yoon J-H, Yeon J-H, Kim S-W. Port Digital Twin Development for Decarbonization: A Case Study Using the Pusan Newport International Terminal. J Mar Sci Eng 2023;11:1777. https://doi.org/10.3390/jmse11091777.
Search in Google Scholar Back to article
Marandino C, van Doorn E, McDonald N, Johnson M, Açma B, Brévière E. From Monodisciplinary via Multidisciplinary to an Interdisciplinary Approach Investigating Air-Sea Interactions – a SOLAS Initiative. Coast Manag 2020;48:238–56. https://doi.org/10.1080/08920753.2020.1773208.
Search in Google Scholar Back to article
Fernando H, Wickramasinghe V. Employability skills of maintenance technicians in container ports: Implications for maritime technical and vocational education and training. Marit Technol Res 2024;6:269909. https://doi.org/10.33175/mtr.2024.269909.
Search in Google Scholar Back to article
Galicia PR, Maravillas N, Samillano R, Huera CA, Pechuanco FL. 21st century learning skills of maritime faculty in the Province of Antique, Philippines. Marit Technol Res 2024;6:270545. https://doi.org/10.33175/mtr.2024.270545.
Search in Google Scholar Back to article
Sartini S, Triyono S, Triastuti A. Unveiling maritime English communication needs for seafarer: Strategic reformation for classroom instructional design. Marit Technol Res 2024;7:271921. https://doi.org/10.33175/mtr.2025.271921.
Search in Google Scholar Back to article
Pangalos G. Financing for a Sustainable Dry Bulk Shipping Industry: What Are the Potential Routes for Financial Innovation in Sustainability and Alternative Energy in the Dry Bulk Shipping Industry? J Risk Financ Manag 2023;16:101. https://doi.org/10.3390/jrfm16020101.
Search in Google Scholar Back to article
Tomos BAD, Stamford L, Welf le A, Larkin A. Decarbonising international shipping – A life cycle perspective on alternative fuel options. Energy Convers Manag 2024;299:117848. https://doi.org/10.1016/j.enconman.2023.117848.
Search in Google Scholar Back to article

Application of hybrid fuzzy-TOPSIS approach in enhancing green logistics towards sustainable maritime

Abstract

Paradigm

My account