Yue Shi is a PhD student in Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. She received her BS degree in Ecommerce from Guangdong University of Foreign Studies, China and MS degree in management science and engineering from Sun Yat-sen University, China. Her research interests include decision-making under uncertainty, maintenance optimization, and multivariate degradation modeling. She is a student member of INFORMS.

Dr. Yisha Xiang is an assistant professor in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. Her current research and teaching interests involves reliability modeling and optimization, maintenance optimization, and decision-making under uncertainty. Her research has been funded by the National Science Foundation (NSF), including a CAREER grant, and industry. She has published articles in refereed journals, such asINFORMS Journal on Computing, IISE Transactions, European Journal of Operational Research, andIEEE Transactions on Reliability. She was the recipient of the Ralph A. Evans/P.K. McElroy Award for the best paper at the 2013 Reliability and Maintainability Symposium, and Stan Oftshun Best Paper Award from Society of Reliability Engineers in 2013 and 2017. She received her BS in industrial engineering from Nanjing University of Aero. & Astro., China, and MS and PhD in industrial engineering from University of Arkansas. She is an associate editor forIEEE Transactions Automation Science and Engineering, and she is a member of IISE and INFORMS.

Ying Liao is a PhD student in Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. She received her BS and MS in statistics from Sun Yat-sen University, China. Her research interest includes reliability modeling, statistical machine learning, and Bayesian analysis. She is a student member of INFORMS.

Zhicheng Zhu is a PhD candidate in Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. He received his BS and MS in electrical engineering from Sun Yat-sen University, China. His main research interests are maintenance optimization, decision-making under uncertainty, and reliability modeling. He is a student member of INFORMS.

Yili Hong received his PhD in statistics from Iowa State University in 2009. He is professor of statistics at Virginia Tech. His research interests include machine learning and engineering applications, reliability analysis, and spatial statistics. He has more than 90 publications in publications such asJournal of the American Statistical Association, Annals of Applied Statistics, Technometrics, andIEEE Transactions on Reliability. He is currently an associate editor forTechnometrics andJournal of Quality Technology. He is an elected member of International Statistical Institute. He won the 2011 DuPont Young Professor Award, and the 2016 Frank Wilcoxon Prize in statistics.