Recently, students from the Logistics and Supply Chain Management program at NIIE Institute (Interlingual Institute of Education) – Nguyen Tat Thanh University (NTTU) successfully completed their Graduation Thesis defenses for Semester 2 of the 2025–2026 academic year. The defense sessions were conducted in a serious yet enthusiastic atmosphere, as many student groups presented research topics focusing on operational optimization, data management, decision-making models, and technology applications in modern supply chains.
Participating in this round of thesis evaluations was Dr. Ngo To Giao – Head of the Logistics Program at NIIE Institute, serving as Chair of the Evaluation Committee. Joining the committee were Dr. Ta Huu Hien – Lecturer at NIIE Institute, Mrs. Le Thi My Anh, MBA – Lecturer from the Faculty of Engineering and Technology, and Mrs. Tran Hoang Cam Tu, MBA – Acting Head of the Logistics and Supply Chain Management Department.
A key highlight of this year’s thesis season was the strong focus on issues currently attracting significant attention from businesses, such as transportation optimization, warehouse management, supply chain planning, green logistics, and the application of AI and data analytics in operations. Rather than concentrating on a single research direction, each project offered a unique perspective on how businesses can improve operational efficiency in an environment where supply chains are continuously evolving.
One of the topics that attracted considerable interest from the committee was “Logistics KPI Dashboards Development.” The student group developed a dashboard system designed to help businesses monitor and control logistics performance indicators. From transportation and warehousing data to operational efficiency metrics, the project demonstrated how data visualization can support decision-making in modern logistics enterprises.
Meanwhile, the topic “Economic Assessment of Solar Power System Investment in Warehouse Using Monte Carlo Simulation” approached logistics from the perspective of energy and sustainable development. The student group focused on evaluating the investment efficiency of solar power systems in warehouses through Monte Carlo simulation, thereby analyzing factors affecting electricity consumption and operating costs. This was also one of the research directions reflecting the growing global interest in green logistics.
Some groups chose to further explore optimization and decision-making problems in supply chains through research directions related to transportation, warehousing, supplier management, production planning, and technology applications in logistics operations optimization. Many topics applied models such as AHP, TOPSIS, MIP, and Monte Carlo to analyze data and build decision-support systems, thereby proposing solutions to improve operational efficiency and develop supply chains in a more sustainable direction. This shows that students are not only approaching specialized knowledge but are also gradually becoming familiar with data-driven thinking and analytical tools currently used by businesses.
According to the committee’s feedback, many groups showed thorough preparation in both content and presentation. In addition to comments on formatting, report structure, and APA 7 standards, the committee also raised many questions related to input data, practical implementation potential, financial models, and the construction of analytical systems. This also provided students with an opportunity to practice critical thinking, problem presentation, and defending professional viewpoints before the committee.
The Graduation Thesis defense was not only a milestone marking the learning journey of Logistics and Supply Chain Management students at NIIE, but also an opportunity for them to reflect on their research process, teamwork, and professional thinking development throughout their studies. Through each topic, students gained further opportunities to enhance their abilities in analysis, data processing, model development, and approaching new operational trends in modern logistics.
