The "Supply Chain Management - Economic Statistics" Double Bachelor's Degree Interdisciplinary Talent Training Program is jointly launched by CUFE Business School and CUFE Statistics and Mathematics School. Based on national development strategies and practical needs, it deeply integrates the comparative advantages of supply chain management and economic statistics disciplines to cultivate interdisciplinary talents with equal emphasis on theory and practice in "Supply Chain Management + Economic Statistics" for the country. Since its enrollment through the college entrance examination in 2024, the program has successfully completed two sessions of enrollment. Through a series of professional exchange activities, it has built a high-quality platform for students to explore cutting-edge professional knowledge and stimulate innovative thinking.
To help students of the "Supply Chain Management - Economic Statistics" Double Bachelor's Degree Program understand the learning directions and goals of the supply chain management major and consolidate their professional foundation, Teacher Mu Shandong (head teacher), Teachers Qi Yu and Wang Huiting (counselors) jointly organized professional teachers from the Department of Supply Chain and Operations Management of CUFE Business School to launch a series of professional exchange activities themed "Approaching Supply Chain Management" for the 2024 and 2025 cohorts of double-degree students.
AI-Driven Decision-Making
On September 16, 2025, Professor Dai Hongyan from the Department of Supply Chain and Operations Management of CUFE Business School, and Teacher Qi Yu, counselor of the 2024 cohort of the Supply Chain Management - Economic Statistics Double Bachelor's Degree Program, visited the Shahe Campus. Professor Dai delivered a professional exchange session titled "AI-Driven Decision-Making" to the students. With long-term in-depth research in fields such as supply chain management and the integration of AI and decision-making, his research achievements in directions like large model human-machine collaboration and logistics network optimization have provided important support for technological innovation in the supply chain field.
At the beginning of the exchange session, Counselor Qi Yu had a warm interaction with the students. She inquired in detail about their recent academic progress and difficulties in course learning, and patiently answered common concerns such as time allocation for double-degree studies and connection of professional knowledge.
Subsequently, Professor Dai Hongyan started with AI application scenarios in daily life, gradually extended the topic to the field of supply chain management, and vividly explained the driving role of large-model AI in key links such as demand forecasting, inventory optimization, and logistics route planning. She helped students build a cognitive framework of "technology + profession" and gain a profound understanding of the integration trend and application value of cutting-edge technologies and their major.
This exchange session helped students sort out their academic progress in a timely manner, effectively broadened their professional horizons, and provided important inspiration for them to explore the innovative development path of "Supply Chain + AI".
Dynamic Productivity Scheduling Strategies in Supply Chains
On October 31, 2025, CUFE Business School Vice Dean Gu Leilei, Teacher Mu Shandong (the head teacher for the 2024 and 2025 cohorts of the Supply Chain Management - Economic Statistics Double Bachelor's Degree Program), Teacher Chen Jingchuan from the Department of Supply Chain and Operations Management, as well as counselors Qi Yu and Wang Huiting traveled to the Shahe Campus.All students of the Supply Chain Double-Degree Program from the 2024 and 2025 cohorts participated in the event with great enthusiasm, resulting in a vibrant and engaging on-site atmosphere.
Centering on the theme of "Research on Scheduling Strategies of Dynamic Productivity in Supply Chains", Teacher Chen Jingchuan elaborated in detail on how to apply mathematical models to solve single-period problems in supply chains through vivid corporate cases, with a focus on analyzing effective scheduling strategies for dynamic productivity.Featuring solid theories and vivid cases, Teacher Chen's sharing not only demonstrated the complexity of supply chain management but also highlighted its scientific nature, enabling students to gain a more intuitive understanding of the practical application of professional knowledge.
After the lecture, the event moved on to the cross-cohort communication session. Students from the 2024 and 2025 cohorts wrote down their names on the blackboard and gave self-introductions, warmly sharing details about their hometowns, academic experiences and hobbies. The on-site interaction was frequent, creating a relaxed and pleasant atmosphere.
Subsequently, Teacher Gu Leilei had a warm exchange with the students. She patiently answered their questions regarding professional learning, course selection, future career planning and other aspects. Meanwhile, she encouraged the students to cherish the learning opportunity of the double-degree program, firmly master professional knowledge, and continuously improve their comprehensive quality and core competitiveness.
This series of professional exchange activities has broadened the professional horizons of double-degree students and stimulated their enthusiasm for exploring the innovative development path of "Supply Chain + AI". CUFE Business School will continue to deepen interdisciplinary integrated education and contribute to cultivating more interdisciplinary and high-quality supply chain management talents.
