Beijing Qingchang attended the annual supervision meeting of the national key R&D program "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing" in 2023.
August 9-10, 2023,National Key R&D Program Project "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing"2023The annual supervision meeting was hosted by the Joint Institute of Zhejiang University and the University of Illinois Urbana-Champaign, and was successfully held in Hangzhou. Our general manager, Zhang Huanfen, and the project leader of the sub-topic, as well as our chief scientist, Professor Niu Dongxiao from North China Electric Power University, were invited to attend this meeting. The meeting was chaired by Professor Wang Hongwei, the vice president of the Joint Institute, and focused on reporting, discussing, and summarizing the work, execution status, new important progress, and achievements made in the past year regarding the "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing."
At the meeting, Professor Niu Dongxiao, our chief scientist, as one of the four project leaders, reported on seven aspects including overall execution status, personnel and funding usage, supporting conditions, management work, progress, and achievements. After carefully listening to the questions from the supervision team experts, detailed answers were provided. The expert group also fully affirmed the meticulous implementation management of the project and the fruitful results achieved in the past year, and offered valuable suggestions regarding scientific research, overall organization, and financial management, pointing out directions for better advancement and successful completion of the project acceptance.
During the session where the leaders of each sub-topic group spoke, our general manager Zhang Huanfen actively communicated with other project team members, focusing on prominent issues faced by domestic manufacturing, such as insufficient technological innovation, weak competitiveness, and poor economic benefits. Based on the actual situation of the enterprise, production and operation analysis and experience sharing were conducted. It was also stated that in future project work, Beijing Qingchang will continue to actively collaborate, diligently complete project tasks, and fully cooperate with topic research, ensuring good support for data sharing and practical verification.
Since the project was initiated in November 2020, Beijing Qingchang has worked hand in hand with the project team to fully promote project implementation, jointly building the foundational theories and methods for collaborative data space design for multi-value chains in manufacturing, helping the project to complete the research content specified in the project task plan ahead of schedule. At the same time, our company also took this opportunity to empower enterprises in return, enhancing technological innovation levels, improving economic benefits, and further achieving sustainable development of the enterprise, growing together with the project.
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