Sustainable Manufacturing Systems: Smart Planning and Operation
for Energy-Efficient and Environment-Friendly Manufacturing
Abstract
In order to respond to climate change, carbon peak and carbon neutral become the strategic goals worldwide. Manufacturing is ranked the third in both energy consumption and greenhouse gas emissions, and the first in toxic releases. Therefore, manufacturing must be sustainable, i.e., green.
Sustainable manufacturing systems are of significant importance to the worldwide economy, supply chain, and societal benefits. It typically includes two parts: The first is manufacturing systems of green technology or renewable energy products While the second is related to scheduling, control, and optimization of manufacturing processes to reduce energy consumption and emissions.
In this talk, we will review the recent progresses in sustainable manufacturing systems, and focus on analysis, design and optimization of sustainable manufacturing systems. Specifically, through examples in battery manufacturing, energy-intensive production, and system redesign, we introduce smart planning and scheduling methods to redesign and reorganize processes and operations, to achieve energy-efficient and environment-friendly manufacturing.
Short Biography
Dr. Jingshan Li is the Head and Gavriel Salvendy Chair Professor in Department of Industrial Engineering, Tsinghua University, Beijing, China. He received BS, MS, and PhD degrees from Tsinghua University, Chinese Academy of Sciences, and University of Michigan, in 1989, 1992 and 2000, respectively. Before joining Tsinghua University in 2021, he was with General Motors R&D Center, University of Kentucky, and University of Wisconsin-Madison.
Dr. Li has published 2 textbooks, 7 book volumes, and more than 270 refereed journal articles, book chapters, and conference proceedings. He has been the Senior Editors, Associate Editors, and Chairs of many top journals and conferences. He has been the Chairs of IEEE Technical Committees on Sustainable Production Automation, and Healthcare Management Automation.
Dr. Li is an IEEE Fellow, IISE Fellow, and IEEE Distinguished Lecturer in robotics and automation. He received NSF CAREER Award, IEEE Robotics and Automation Early Career Award, and multiple Best Paper Awards from flagship journals and conferences. His primary research interests are in design, analysis, and control of production and healthcare systems.