Business School Department of Industrial Engineering Teachers and Students visited Shanghai Yingfan Technology Co., Ltd for Exchange of Industry-University Cooperation

Updated:2021-03-31

Shanghai Yingfan Technology Company, the practice base of industrial-university cooperation of the Department of Industrial Engineering of the Business School of USST, had successfully entered the pilot list of the 2020 construction and cultivation of industrial-university fusion enterprises in Shanghai, ranking 62nd out of 84 shortlisted enterprises.

On the morning of March 30, 2021, associate professor Liu Qinming, director of the Department of Industrial Engineering of Business School of USST, and associate professor Li Lin led undergraduate and graduate students to visit Shanghai Yingfan Technology Co., Ltd to further explore and exchange  specific work of industry-university integration of school-enterprise cooperation. Mr. Li Dan, Chairman and Chief Executive Officer of Shanghai Yingfan Technology Co., Ltd, and Ms. Cao Lin, Assistant to President, attended the meeting. 

Mr. Li Dan first welcomed the teachers and students from the Department of Industrial Engineering of the Business School of USST and introduced in detail the background and present situation of the cooperation between the Business School of USST and the Shanghai Yingfan Technology Co., Ltd. Ms. Cao Lin introduced the company and business development to the school teachers and students in detail. 

The two sides have full exchange and interaction, and reached agreement on further school-enterprise cooperation contents and plans: first, for the enterprise credit scoring algorithm model on supply chain for enterprises in the field of science, technology and finance, both sides will specify their objectives to form specific working mechanism. Second, in the fields of integrated supply chain such as sales forecast, dynamic replenishment, inventory forecast and so on, the two sides will carry out related R&D cooperation in the field of neural network, weighted average, linear equation and solution space and so on within the forecast research field. Third, according to their actual situations, the two sides will explore effective cooperation modes, methods and contents in government project applications, undergraduate and graduate employment and internships.

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