Data Science and Business Analytics in Reliability
This session discusses recent advances in data science and business analytics for reliability problems. The session focuses on state-of-the-art methodology about modeling and analysis of several research problems like warranty management, remaining useful life estimation, and maintenance optimization.
Warranty, maintenance, machine learning, industrial statistics
Chair: Qiuzhuang Sun, The University of Sydney, Australia
Qiuzhuang Sun received the joint B.E. degree in industrial engineering and in computer science from Shanghai Jiao Tong University in 2015, and the Ph.D. degree in industrial and systems engineering from the National University of Singapore in 2019. He is currently a Lecturer (Assistant Professor) at the School of Mathematics and Statistics, the University of Sydney. He will join the School of Mathematics and Statistics, University of Sydney as a Lecturer (Assistant Professor) this year. His research interests include maintenance modeling, degradation analysis, and data-driven optimization. (E-Mail: firstname.lastname@example.org)
Chair: Xiaolin Wang, Sichuan University, China
Xiaolin Wang is an associate professor in the Business School at Sichuan University. Prior to that, he was a research assistant professor in the Department of Logistics and Maritime Studies at The Hong Kong Polytechnic University. He received his Ph.D. in industrial engineering from City University of Hong Kong in 2020, and his B.S. and M.S. degrees in industrial engineering from Southeast University in 2013 and 2016, respectively. His research interests include maintenance optimization, warranty analytics, and operations management. His research outcomes have appeared in IISE Transactions, European Journal of Operational Research, Manufacturing & Service Operations Management, among others. He serves on the Editorial Board of the International Journal of Reliability and Safety. (E-Mail: email@example.com)
If you are interested in the special
session, please submit your paper or abstract here
https://www.zmeeting.org/submission/srse2023 and choose special session 6.
For any questions, please mail the organizers or conference secretary firstname.lastname@example.org.
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