Smart Manufacturing Plant Research Challenges and Opportunities
Furong Gao is a Chair Professor of Chemical and Biological Engineering, Hong Kong University of Science and Technology (HKUST), and he was a Professor of Control Science and Engineering, Zhejiang University as a State “1000 Talent Scholar”. At HKUST, he serves as the Funding Head of Division of Advanced Manufacturing and Automation, Funding Director of Center for Polymer Processing and Systems, and South China Director of National Engineering Research Center for Industrial Automation.
Professor Gao received his BEng in Automation from China University of Petroleum in 1985, MEng and PhD, both in Chemical Engineering, from McGill University in 1989 and 1993, respectively. Before joining HKUST, he worked as a Senior Research Engineer in charge of Intelligent Process Control (IPC) group at Moldflow International Company (now, a part of Autodesk Inc), Melbourne, Australia. His research interest is in batch process automation and its polymer processing applications. To date, he has authored more 500 journal and conference papers, six books, and 70 patents.
A typical plant consists of serval manufacturing lines and each line is made of a combination of several equipment. Each equipment is supplied by different manufactures. Change of products to be made requires reintegration of these equipment. There exists serval open problems & opportunities for control/automation researchers particularly in today where modern communication makes big industrial data increasingly available. How the research/education community take this advantage to address the manufacturing challenges. The speaker would like to take thermoplastic injection molding as an example to illustrate and discuss the challenges and opportunities for a smart manufacturing plant.