The team led by Professor Dai Hongyan from the Business School Received the Management Science Practice Award at the Global Chinese Scholars Conference on Management Science and Engineering

From July 29 to 31, 2023, the 15th International Annual Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE) was held in Shenzhen. The project "Big Data-driven New Retail Crowdsourcing Instant Delivery Management” led by Professor Dai Hongyan's team from the Supply Chain and Operations Management Department of Business School received the "Management Science Practice Award" (Second Prize).

The topic of the CSAMSE 2023 conference was "Data Science and Global Supply Chain." The conference aims to discuss the greater role that data science can play in future economic development and to help establish more flexible, robust, and efficient international supply chains, thereby driving the economic development of China and the world. The conference attracted nearly 700 participants from 7 countries, including scholars from renowned institutions of higher education worldwide such as Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, Cornell University, University of Chicago, Columbia University, National University of Singapore, Tsinghua University, Peking University, Shanghai Jiao Tong University, Fudan University, Zhejiang University, and University of Science and Technology of China. It also featured experts from well-known enterprises such as ByteDance, McKinsey, McDonald's, and Sinopec. Scholars and experts from both academia and industry gathered together to attend this grand event in the field of management science.

The selection process for the "Best Management Practice Award" consists of two stages: the letter evaluation and the final defense. The panel of judges was composed of 19 renowned scholars from both domestic and international organizations in the field of management science and engineering. Professor Dai Hongyan's team stood out in the letter evaluation and advanced to the final defense. Professor Dai Hongyan's team project focused on the pain point of high costs for new retail instant delivery enterprises such as JD Daojia and Meituan. It built a demand prediction method based on machine learning and a new retail instant delivery scheduling model that took into account the behavior of crowdsourced delivery personnel, optimizing the management of new retail crowdsourcing instant delivery. The project has resulted in the publication of 18 papers in top domestic and international journals such as the Journal of Management Science, MS, EJOR, and TRE. It has also led to the filing of 5 patent applications and received the Best Paper Award at 3 conferences, including the 2019 INFORMS Service Science Conference, with an acceptance rate of less than 1%. The team's big data-driven demand prediction system and new retail instant delivery scheduling system have been applied in JD Daojia and Meituan, resulting in substantial improvements in key performance metrics and creating significant economic value.

The Chinese Scholars Association for Management Science and Engineering (CSMASE) is a fast-growing and highly recognized academic organization. Its members are mostly scholars from both domestic and international organizations in the field of Management Science and Engineering (MSE). They are committed to promoting the exchange between academia and industry in the field of management science and driving the development of management theory and practice in China. After 15 years of development, the International Annual Conference of the Chinese Scholars Association for Management Science and Engineering (CSMASE) has evolved into a representative conference for discussing the latest business developments in China and staying abreast of the latest developments in management science research. The "Management Science Practice Award" aims to honor successful cases that apply scientific methods to address practical management problems and enhance practical competencies.

Professor Dai Hongyan has integrated machine learning methods with operations management theory, conducting extensive and in-depth research in areas such as data-driven optimization decisions and the Internet of Things. He has achieved abundant research outcomes, published over 40 articles, including in top domestic and international journals like MS, EJOR, Journal of Management Science, and Journal of Management Engineering. He has also directed multiple national and provincial/ministerial key research projects, such as the NSFC’s Major Research Plan Cultivation Project and the NSFC’s General Program Projects.