Decision Intelligence in Manufacturing: In‑Depth Practices and Research Presentations at DataFun Summit 2022

On September 24, 2022, the DataFun Summit 2022 hosted a Decision Intelligence forum with leading scholars and industry experts from Shanshu Technology, Shanghai University of Finance and Economics, and Fuzhou University, focusing on the practical application of decision intelligence in manufacturing.

Speaker: Prof. Yang Chaolin (Shanshu Technology Scientist, Shanghai University of Finance and Economics) Profile: PhD from CUHK, professor and director of the Data, Algorithms and Engineering Department, National Excellent Youth, with research in supply‑chain, inventory, and data‑driven operations published in top journals such as Management Science and Operations Research. Talk Title: Large‑Scale Manufacturing Network Safety Stock Management Outline: 1) Data‑driven network inventory management; 2) Complex network safety‑stock optimization algorithms; 3) Case study of a leading ICT company. Audience Benefits: Learn how to optimize safety‑stock locations and quantities, understand the role of big‑data methods, and see how large‑scale optimization accelerates manufacturing networks.

Speaker: Mr. Huang Xiang (Vice President, Shanshu Technology) Profile: Melbourne‑trained mathematician with extensive experience in operations‑research algorithms for major enterprises such as Huawei, JD, and SF Express. Talk Title: Decision Intelligence in Manufacturing Production Operations Outline: 1) Current development trends of automotive, chemical, and other manufacturing sectors; 2) Requirements of intelligent manufacturing production operations; 3) Case studies of intelligent production; 4) Summary and discussion. Audience Benefits: Gain recommendations for intelligent transformation, learn applications of AI in production‑sales coordination, and explore intelligent planning for material, production, and supply plans.

Speaker: Mr. Gao Ji (Vice President, Shanshu Technology) Profile: PhD in Systems Engineering from Cornell, expert in multi‑objective supply‑chain optimization, stochastic and robust optimization, and large‑scale MINLP; reviewer for top journals such as AIChE Journal and Operations Research. Talk Title: Industrial Applications of Optimization Solvers Outline: 1) What is a solver; 2) Current development status; 3) Performance of the COPT solver; 4) Solver applications in power, transportation, manufacturing, and retail. Audience Benefits: Obtain a basic understanding of optimization solvers and learn representative industry deployment scenarios.

Speaker: Dr. Li Debiao (Assistant Dean, School of Economics & Management, Fuzhou University) Profile: PhD in Engineering, associate professor, committee member of Chinese Simulation Society and Operations Research Society, project leader of multiple NSFC grants, with research applied to Samsung, Konka, etc. Talk Title: Production Scheduling Optimization Driven by Industrial Data and Intelligent Algorithms Outline: Discuss the high complexity and NP‑hard nature of scheduling, introduce data‑driven robust scheduling models, adaptive distributed robust optimization, and reinforcement‑learning‑based rescheduling mechanisms; present case studies in PCB packaging. Audience Benefits: Understand challenges of scheduling optimization, learn data‑driven research paradigms, and explore key scientific issues in production scheduling.

Speaker: Prof. He Simai (Chief Scientist, Shanshu Technology; Professor, Shanghai University of Finance and Economics) Profile: PhD in Operations Research from CUHK, award‑winning researcher in optimization and operations management, leader of large‑scale intelligent management projects for JD, SF Express, and airlines. Talk Title: Data‑Driven Production Operations Management Decisions Outline: 1) Record and analysis of promotion data; 2) Intelligent pricing for long‑tail items with poor data quality; 3) Agile response in ultra‑large systems – JD unmanned warehouse scheduling; 4) Discuss data quality vs decision quality and algorithmic decomposition for massive systems. Audience Benefits: Learn how to analyze key data, overcome common bottlenecks in intelligent management, and apply agile algorithms to massive industrial systems.

The event concluded with instructions on how to join the live stream via QR code and a brief introduction to DataFun, a community dedicated to big‑data and AI technology sharing since 2017.