Fei Qiao

Title: Industrial-Big-Data-Driven Adaptive Scheduling of Smart Manufacturing
Abstract:

    In the era of internet and big data, smart manufacturing with high integration of physical system and cyber system is a hot topic in both industry and academia. One of the notable characteristics of smart manufacturing is the adaptability of dynamic manufacturing environment. This paper addresses the issue of production scheduling mechanism that meets the requirements of smart manufacturing. It is an adaptive scheduling solution driven by industrial big data and based on Cyber-Physical System (CPS). First, with framework of Cyber-Physical Production System (CPPS) for smart manufacturing, a four-stage closed-loop scheduling mechanism, is suggested and analyzed. Its implementation includes perception, analysis, decision and execution. Second, to deal with adaptive scheduling, we propose and design two dynamic scheduling methods, one based on scheduling strategy selection and the other based on scheduling parameter selection. Both of them are based on historical production data, and they generate dynamic scheduling algorithm patterns through machine learning. Next, this paper discusses the application of the proposed scheduling methods. Based on production states collection and dynamic disturbance detection, the schedule execution is monitored. Once the system determines that the schedule needs to be adjusted, an appropriate scheduling method is applied to generate new schedules that satisfy the execution requirements of the manufacturing environment. At last, the proposed adaptive scheduling solution and two scheduling methods are tested and compared with a semiconductor experiment production line.

Brief  Introduction:

    Fei Qiao is a full professor at CIMS Research Center, the College of Electronics & Information Engineering, Tongji University. She is a Humbolt scholar and winner of the new century excellent talent program of the ministry of education, China. She received her MS in Automation (1993) and PhD in Management Engineering (1997) from Tongji University. Since 1993 she joined the CIMS (Computer Integrated Manufacturing System) Research Center, Tongji University. With interdisciplinary background of control-, management- and mechanical- engineering, she has worked extensively in the System Engineering and Industrial Engineering, including the following research areas: Big data based smart manufacturing, Intelligent Production System, Complex Manufacturing Planning & Scheduling, Energy Management and Optimization, etc. She has also served as deputy secretary-general of Chinese Association of Automation (CAA), vice president of Shanghai Systems Engineering Society (SSES), vice president of Shanghai Microcomputer Application Society (SMAS), vice director of Expert Consultative Committee (ECC) of CAA.