Special Session VI

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.


Related topics:
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: qiuzhuang.sun@sydney.edu.au)

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: xiaolinwang@scu.edu.cn)

 Submission Portal

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 srse@sciei.org.



© SRSE 2019-2024 | Hangzhou, Zhejiang, China | Email: srse@sciei.org