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A multi-aspect framework to support the decision-making process of low carbon emission solutions

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A multi-aspect framework to support the decision-making process of low carbon emission solutions

Author: Son Nguyen


Publisher: Nashwa

Publication Date: Jan 01, 2019

Country: Vietnam

Language: English

Keywords: Ship energy efficiency management plan (SEEMP) . Decision-making framework . Low-carbon shipping (LCS) . Energy efficiency design index

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Abstract

The aim of 2 °C global temperature gaining limitation had been included in the Copenhagen Accord emerging from the Conference of Parties (COP15) meeting. The Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Design Index (EEDI) became mandatory and served as a guide for companies in low-carbon operation and management. However, the actual active application of low-carbon shipping (LCS) measures by stakeholders still undeniably plays a decisive role. Unfortunately, the way from SEEMP and EEDI adoption to LCS measures implementation of industrial stakeholders remain knowledge gaps. One of them is a manner by which LCS measure decisions can be made properly by considering multiple criteria. This paper, by analyzing primary internal and external factors affecting LCS decisions, introduced a decision-making framework for shipping companies in choosing the most appropriate LCS measures for individual ships to implement in diversified conditions. The framework has a generic structure thus researchers and policymakers, as well as each company can apply it flexibly and diversely

Author biography

Here’s a well-rounded biography for Dr. Son Nguyen, a Vietnamese academic and researcher previously affiliated with Vietnam Maritime University and currently active in logistics, AI, and maritime studies:


Dr. Son Nguyen

Lecturer, Logistics & Supply Chain Management (RMIT University, Saigon South Campus)

🎓 Education & Academic Background

  • PhD in Maritime and Logistics Management from the Australian Maritime College, University of Tasmania (RMIT University Vietnam)

  • Master’s degree in Transportation Planning and Management from Wuhan University of Technology (China) (ResearchGate)

  • Bachelor’s degree in Maritime Business from Vietnam Maritime University, Haiphong, Vietnam (ResearchGate)

👨‍🏫 Academic & Professional Roles

  • Lecturer at Vietnam Maritime University, Haiphong (2017–2018), teaching maritime economics, fleet management, and transportation business (ResearchGate)

  • Lecturer at RMIT University, Saigon South Vietnam, within the Business School (current position) (RMIT University Vietnam)

  • Currently associated with the Institute of High Performance Computing, Singapore as a Visiting Researcher (from March 2024), previously serving as a scientist there (June 2022–Dec 2023) (RMIT University Vietnam)

🔬 Research Interests & Contributions

  • His expertise spans maritime logistics, transportation economics, and supply chain technologies (RMIT University Vietnam)

  • He works with AI and machine learning, especially in applications such as fuel consumption modeling, operational risk prediction, and logistics optimization (RMIT University Vietnam)

  • Actively engaged in multiple collaborative research initiatives across Vietnam, Singapore, Australia, and China (RMIT University Vietnam)

💼 Publications & Industry Recognition

  • Accepted publications and reviewer for top-tier journals like Transportation Research Part E, International Journal of Physical Distribution & Logistics Management, and Reliability Engineering & System Safety (RMIT University Vietnam)

  • His professional network includes membership in the Australian Maritime Logistics Research Network and the IEEE Technology and Engineering Management Society (RMIT University Vietnam)


🧩 Summary

Dr. Son Nguyen combines strong academic credentials with applied research in AI-driven logistics and maritime systems. His background—from Vietnam Maritime University to international research roles—underscores his commitment to bridging academic study and real-world logistics innovation.

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