At the International Conference on Smart Operating Administration 2025 held on December 20, Prof. Dr. Nguyen Thanh Hieu - Deputy Director of the National Economics University - emphasized that academic seminars are an important space for researchers to announce new results, share approaches and promote scientific dialogue.
Mr. Hieu said that National Economics University is a long-standing educational institution in Vietnam in economics, management and business, focusing on academic research and international cooperation. The school is also a place to connect scholars from many fields and countries to exchange research.
"In that context, scientific seminars will promote interdisciplinary knowledge exchanges, connecting scholars from many different fields and from many countries. This has expanded opportunities for international cooperation, developed joint research projects and enhanced the impact of academics on practice" - Prof. Dr. Nguyen Thanh Hieu commented.
Sharing about experience in applying supply chain research and optimization using AI, Prof. Chung Piaw Teo (Vietnam National University, Singapore) said that the field of operations management and supply chains has recently changed dramatically thanks to digital data and AI.
"In recent decades, supply chain governance and operation have changed significantly thanks to the development of data, digital technology and artificial intelligence. During the research process, cooperation with businesses becomes important: Enterprises provide data, provide practical problems and facilitate model testing" - Prof. Chung Piaw Teo said.
He also emphasized the role of doctoral research in connecting businesses and academic research.
"For example, at the Singapore Institute of operational Research and Analysis, doctoral students are encouraged to participate in real-life projects, from aviation management, logistics, to healthcare and finance. This helps them both learn and solve practical problems" - he said.
According to Prof. Sharing Piaw Teo, the current trend is the combination of optimization, modeling and analysis of experimental data, especially in the AI era. Accordingly, companies not only need to make predictions but also make quality decisions, from multi-source inventory management to valuation of supporting aviation services.
He said that doctoral students participating in these projects will learn how to build sustainable decision-making models, based on actual data, solving problems when information is not complete, and can be applied immediately in business practice.
"Therefore, doctoral students are strategic factors to promote innovation, connect research with businesses, and develop effective operational solutions in the era of big data and AI" - Prof. Chung Piaw Teo emphasized.
