Dr Dineswary Nadarajan’s research on “Marine traffic flow and seaport efficiency using hybrid fuzzy data envelopment analysis utilising machine learning algorithm” is making significant progress, with the project expected to be completed by the end of 2024. This study is focused on optimising seaport efficiency, a critical area as global maritime trade continues to expand, handling over 11 billion tonnes of cargo annually, according to the International Chamber of Shipping.
One of the key milestones of the project has been the development of a new methodology that combines hybrid fuzzy data envelopment analysis (DEA) with machine learning algorithms to capture uncertainties and dynamic changes in seaport operations. Dr Dineswary shared her excitement about the progress, stating, “This project allows us to explore innovative approaches to assess and improve seaport performance. The integration of fuzzy DEA and machine learning has proven to be highly effective in addressing real-world challenges.”
Dr Dineswary expressed pride in her achievements so far, including publishing two highly acclaimed papers in Web of Science (SSCI-Q1) and Scopus (Q1). The first paper introduced fuzzy approaches like Triangular and Trapezoidal Fuzzy DEA, while the second identified new clusters of seaport countries based on efficiency scores. These contributions have already garnered international recognition, earning her the prestigious “Outstanding Researcher Award” from ASIA Awards.
The research, conducted in collaboration with a multidisciplinary team from SEGi, Universiti Malaya, and Taylor’s University, is also expected to have practical applications at Westport. Dr Dineswary highlighted how the findings could significantly enhance operational productivity and connectivity, even during low seasons. “We’re already seeing how these insights could be used to manage increased ship numbers while reducing congestion and improving logistics,” she added.
Beyond academic achievements, this study aims to contribute to sustainable global trade by supporting infrastructure innovation and resilience in maritime networks. Its alignment with the United Nations Sustainable Development Goals (SDG) is clear, particularly in promoting Goal 8 (Decent Work and Economic Growth), Goal 9 (Industry, Innovation, and Infrastructure), and Goal 11 (Sustainable Cities and Communities).
Reflecting on the journey so far, Dr Dineswary shared, “Embarking on this research journey is not just about exploring data and methodologies; it’s about paving the way for a more efficient, resilient, and sustainable maritime future. Each finding is a step toward unlocking the potential of seaport networks to drive economic growth and trade globally.”
This project is organised in support of the following United Nations Sustainable Development Goals (SDG):
SDG 8 – Decent Work and Economic Growth
SDG 9 – Industry, Innovation, and Infrastructure
SDG 11 – Sustainable Cities and Communities