We invite you to participate in the last tutorial of the 2026 QSR Tutorial Series. The goal of the series is to provide QSR members and the general public with accessible, high-quality tutorials that expand their knowledge of emerging research areas and practical tools in quality, statistics, and reliability. The information of the last tutorial is below. We look forward to seeing you there!
Reliability Models and Data Analysis for New Product Development
Reliability testing, experimental design, and data analysis play a critical role in the development, estimation, and improvement of highly reliable products. To obtain high-quality reliability data, test equipment, stress profiles, and experimental designs must be carefully selected. Domain knowledge, such as physics-of-failure mechanisms, failure modes, and operating conditions, should be effectively incorporated into experimental design to ensure efficient data collection and accurate representation in the corresponding reliability models. For engineering teams involved in such efforts, a range of challenges related to equipment selection, statistical methodology, and cost constraints must be addressed. This 2-hour tutorial begins with an overview of widely used reliability testing techniques, statistical models, and test planning methods. The second part focuses on several "interesting" technical challenges and practical solutions we came up with for supporting engineers in reliability testing and data analysis during new product development. This tutorial is intended for a diverse audience, including engineering students, researchers, and industry professionals.
Dr. Haitao Liao
John & Mary Lib White Systems Integration Chair and Professor
Department of Industrial Engineering
University of Arkansas - Fayetteville
Dr. Haitao Liao is the John & Mary Lib White Endowed Systems Integration Chair and a Professor in the Department of Industrial Engineering at the University of Arkansas, Fayetteville. He earned his Ph.D. in Industrial and Systems Engineering from Rutgers University in 2004, along with M.S. degrees in Industrial Engineering and Statistics from the same institution. He received his B.S. in Electrical Engineering from Beijing Institute of Technology. Dr. Liao's research focuses on reliability modeling, fault diagnosis and prognostics, smart maintenance, service logistics, risk-informed decision-making, and resilience of critical infrastructure. He has authored more than 130 journal articles in leading publications, including European Journal of Operational Research, Naval Research Logistics, IISE Transactions, Annals of Operations Research, IEEE Transactions on Reliability, Reliability Engineering & System Safety, and International Journal of Production Research. He is the recipient of several prestigious honors, including the National Science Foundation CAREER Award (2010) and the Alan O. Plait Award for Tutorial Excellence (2017). In addition, he has received numerous best paper awards from IISE, INFORMS, and the Society of Reliability Engineers. Dr. Liao currently serves as Associate Editor-in-Chief of IEEE Transactions on Reliability and is a Fellow of IISE.
April 24, 2026 3:00pm (EDT)
Zoom Link: https://kaist.zoom.us/j/86474411685
Kind regards,
The Organizing Committee:
Alan R. Vazquez, Tecnologico de Monterrey
Heeyoung Kim, KAIST
William Fisher, JMP
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Alan Vazquez
Assistant Professor
Tecnologico de Monterrey
Monterrey, Mexico
https://alanrvazquez.netlify.app/------------------------------