Prof. Jinting Wang
Central University of Finance and Economics
Speech Title: Reliability Analysis and Optimal Control of Stochastic Service Systems
Abstract: The rapid advancement of modern information technology creates significant challenges for service systems, including customer behavior uncertainty, dynamic service resource allocation, optimal pricing strategies, etc. Service interruptions and failures, particularly those caused by human-computer interaction, have resulted in severe consequences. This presentation centers on reliability analysis and optimal control of queueing systems, with applications spanning manufacturing, wireless communications, and related domains. Following a survey of reliability studies on queueing systems with diverse structural features, we address critical research challenges including resource allocation optimization and adaptive control strategies based on customer behavior in IoT and Unmanned Aerial Vehicle (UAV) Networks, along with other recent advances in this domain.
Bio: Jinting Wang is the Longma Distinguished Professor and Director of the Academic Committee at the Department of Management Sciences, School of Management Science and Engineering (SMSE), Central University of Finance and Economics, Beijing, China. His research interests focus on Stochastic Operations Research and Operations Management, including queueing theory, reliability, inventory control and the applications of game theory and queueing theory in operations management, industrial engineering, service science, queueing economics, and wireless communication & networking.
He has published over 160 peer-reviewed articles in international journals including Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IEEE Transactions on Reliability, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Services Computing, Queueing Systems, Naval Research Logistics, European Journal of Operational Research, Journal of Multivariate Analysis, etc. He has published five monographs including a recently published monograph entitled “Fundamentals of Queueing-Game models” (Springer & Science Press). So far, he has hosted nine general projects of the National Natural Science Foundation of China (PI) and over 20 other scientific research projects in the area of Operations Research and Management Science. He is currently serving as an Associate Editor for several professional journals, such as Journal of the Operational Research Society, International Journal of Operations Research, International Journal of Smart Grid and Green Communications, and other three Chinese journals.
Jinting Wang is a life member of Operations Research Society of China (ORSC), and was the recipient of the Outstanding Research Award for Young Researchers from ORSC in 2004. In 2011, he was honored with the recipient of Program for New Century Excellent Talents in University by the Ministry of Education (MoE) of China. He was also the recipient of the “Zhan Tian You” Railway Science and Technology Award (Outstanding Award of Science and Technology) in 2018. In 2024, he was awarded ORSC Science and Technology Award (Distinguished Research Award of Operations Research) by the Operations Research Society of China due to his contributions in Stochastic Operations Research.
Prof. James C. Chen
National Tsing Hua University
Speech Title:
From Lean Production to Smart Manufacturing
Abstract:
Bio:
James C. Chen is Professor in the Department of Industrial Engineering and Engineering Management at National Tsing-Hua University (NTHU), Taiwan. He is also Adjunct Professor of the Institute of Industrial Engineering at National Taiwan University, Taiwan. He received a B.S. in Industrial Engineering from NTHU, Taiwan, an M.S. in Manufacturing Systems Engineering, and a Ph.D. in Industrial Engineering, both from the University of Wisconsin-Madison, USA.Dr. Chen’s current research interests include lean production, smart manufacturing, data science, advanced planning and scheduling, and digital twin. He has been working on university-industry collaboration projects with high-tech industries (e.g., IC design houses, wafer fabs, and TFT-LCD fabs) in Taiwan, as well as Electronic Manufacturing Services (EMS) industries (e.g., netcom, power supply, and backlight module) and traditional industries (e.g., footwear and apparel) in Taiwan, China, Japan, India, Indonesia, Vietnam, Thailand, Phillippines, and Cambodia. He has been guiding more than 1,000 kaizen projects to significantly reduce production cost, improve product quality, shorten production lead time, increase order on-time delivery rate, increase production efficiency, replace manpower by automation and digitization/digitalization. He has published more than 100 peer-reviewed articles in in international journals including International Journal of Production Research, Computers and Industrial Engineering, Journal of Manufacturing Systems, European Journal of Operational Research, Advanced Engineering Informatics, International Journal of Management Science (Omega), IEEE Transactions on Semiconductor Manufacturing, IEEE Transactions on Reliability, Journal of Intelligent Manufacturing, Annals of Operations Research, etc.
Dr. Chen was awarded Dr. Yi-Chi Mei Scholarship at NTHU, IBM Manufacturing Research Graduate Fellowship, Distinguished Industrial Engineer Award from Chinese Institute of Industrial Engineers, Distinguished University-Industry Collaboration Award at NTHU, Outstanding Educator Award in International Conference on Industrial Engineering and Operations Management (Indonesia), Best Paper Awards and Excellent Oral Presentation Awards in several international conferences, and Feature Person: Enjoying the International University-Industry Collaboration, Engineering Science and Technology Bulletin, National Science Council, Taiwan.
Prof. Young Myoung Ko
Pohang University of Science and Technology (POSTECH)
Speech Title:
Queueing Theory as Operational Physics: Toward Foundation Models for Manufacturing and Service Systems
Abstract:
My research has explored these directions along two complementary yet currently independent tracks. The first investigates queueing-informed machine learning, in which fluid and stochastic system dynamics are embedded into learning architectures to enhance data efficiency and structural consistency. The second focuses on manufacturing foundation models, aiming to develop generalizable AI systems trained on industrial data.
While these research streams have evolved separately, this keynote argues that their convergence represents a promising frontier. Manufacturing and service operations are fundamentally flow-driven systems governed by congestion, capacity, and degradation dynamics. Fluid approximations derived from queueing theory yield differential equations that can serve as the operational physics of such systems.
This talk discusses how these physics-based representations may inform the design of next-generation foundation models for operational environments. Rather than presenting a completed unified framework, the keynote outlines conceptual bridges, methodological opportunities, and open research challenges at the intersection of system theory and industrial AI.
Bio:
Young Myoung Ko is a Professor in the Department of Industrial and Management Engineering at POSTECH (Pohang University of Science and Technology), Korea, where he currently serves as Department Head. He also serves as the Director of the Open Innovation Big Data Center at POSTECH. Professor Ko received his B.S. and M.S. degrees in Industrial Engineering from Seoul National University and his Ph.D. in Industrial Engineering from Texas A&M University. His research interests include queueing theory, stochastic systems, reliability engineering, and industrial artificial intelligence, with recent work focusing on queueing-informed machine learning and manufacturing foundation models for intelligent manufacturing and service operations.
TBA