The School of Business (MSB) at Macau University of Science and Technology (MUST) has always been committed to the deep integration of theoretical teaching and practical business applications, actively encouraging students to participate in various high-level academic and technical competitions. On 30 and 31 May 2026, the representative teams from MUST MSB traveled to Nanjing to compete in the 6th International Supply Chain Modeling Contest Finals. Standing out amid the exciting competition with many renowned universities, the team achieved outstanding results by winning the first prize in the agent-based competition, fully demonstrating the MSB’s remarkable effectiveness in cultivating talents in the field of intelligent supply chain and artificial intelligence integration.
The contest was held at Southeast University, organized by the China Communications and Transportation Association, and co-organized by its training center and the School of Transportation at Southeast University, with technical support from Beijing Logis Technology Development Co., Ltd. (Beijing Logis). This contest focused on the theme of “Digital modeling empowerment, cost reduction, efficiency improvement in supply chain,” aiming to advance industry-academic cooperation in the supply chain field, strengthen the integrated research and application of artificial intelligence and supply chain modeling technologies, and cultivate advanced supply chain talents equipped with data thinking and intelligent decision-making capabilities. A total of 406 teams from over 100 institutions signed up enthusiastically, setting a new record. After rigorous preliminary selection, 143 teams advanced to the international finals, including 29 teams in the agent-based competition, 30 teams in the Challenge Competition (limited to double first-class universities and overseas renowned universities), and 36 elite undergraduate teams (limited to general universities in Mainland China).
The highlight of this contest was the inaugural “agent-based competition,” which focused on evaluating participating teams’ ability to build up AI-based supply chain diagnostic and optimization decision-making tools in the context of the deep integration of artificial intelligence, modeling analysis, and algorithm application, thereby promoting the innovative application of intelligent decision-making technology in supply chain management. At the finals, the 29 shortlisted teams in the agent-based competition engaged in a peak showdown with an extremely intense contest process. Ultimately, the “MUST03” team, which consisted of Zhang Yinqi, Hu Yuqi, Chen Xinyu, and Fei Xunmei, all third-year students in the Bachelor of Business Administration (BBA) program at MUST MSB, won the first prize in this track with their exceptional model design and outstanding on-site presentation and defense.
Group photo of “MUST03” team, first-prize winning team of the Agent-based Competition
In the finals, the “MUST03” team addressed a cross-border supply chain case provided by the contest. Targeting pain points such as complex supply chain network structures, high demand volatility, and low efficiency in multi-node collaboration. They innovatively built a multi-agent model with autonomous negotiation and dynamic adaptation capabilities, utilizing an agent-based simulation platform, supply chain modeling optimization masters, and big data analysis technology. This solution not only achieved efficient collaboration across all supply chain nodes but also showed significant performance advantages in demand forecasting, inventory optimization, and risk mitigation. It provided the enterprise with a scientifically sound and feasible optimization path for building a smart, green, and resilient supply chain system, earning unanimous high praise from the judging experts.
Meanwhile, two other teams of MSB also performed excellently and received awards. Team “MUST01” (members of third-year BBA students Gao Qixin, Bi Yujia, Yuan Yining, Fu Zizhuo, and Nie Yiqian) and Team “MUST02” (members of third-year BBA students Xi Yuzhen, Sun Ming, Zheng Qiaochu, Zhou Ruoxi, and Ouyang Yaohui) both won third prize in the Challenge Competition with their solid modeling skills, innovative solutions, and composed on-site performance. The supervising professors for all three teams, including Professor Tang Huajun and Associate Professor Zhao Honghao from MSB, were also recognized with the Excellent Mentor Awards, reflecting the School’s profound accumulation and excellence in integrating teaching with practice.
Group photo of “MUST01” team, third-prize winning teams of the Challenge Competition
Group photo of “MUST02” team, third-prize winning teams of the Challenge Competition
Professor Sheng Ni, Dean of MSB, extended her sincere congratulations to the participating students and teachers on their achievements. She remarked that the School has always kept pace with the global wave of digital and intelligent transformation of supply chains, continuously increasing teaching investments in the interdisciplinary fields of intelligent supply chains and artificial intelligence. In response to technological advancements, MSB has established modern training labs for big data, blockchain, RPA financial robots, intelligent supply chain modeling, and financial technology in recent years, continuously building a high-quality learning environment that resonates with cutting-edge industry demands. This breakthrough achievement in the agent-based competition is a true reflection of the School’s long-standing educational philosophy of “promoting learning and teaching through competition, and integrating industry with education,” laying a solid foundation for students’ future career development and industry competitiveness.
(Contributed and reviewed by Professor Tang Huajun, format reviewed by Helen Kam)
