The INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) is the flagship conference of the Quality, Statistics, and Reliability (QSR) section of the Institute for Operations Research and the Management Sciences (INFORMS).
The conference aims to provide a premier international forum for scholars, researchers, and industry experts to exchange scholarly innovations and advancements that reinforce the scientific essentials of Quality Improvement, Statistical Learning, and Reliability Assurance. It also embraces emerging practical challenges across key sectors such as manufacturing, healthcare, energy, and business analytics.
Through a series of plenary talks, technical presentations, and panel discussions, the conference is dedicated to promoting original, fundamental, and transdisciplinary research with the potential to make timely and long-lasting impacts in a broad range of applications.
We sincerely invite professionals, researchers, and students from industrial engineering, statistics, business, and related fields to join us in exploring the new ideas and technologies that will shape our future. For more information about session organization and abstract submission, please visit our [Contributing Page].
Georgia Institute of Technology
Shanghai Jiao Tong University
Member, National Academy of Engineering
H. Milton Stewart School of Industrial and Systems Engineering College of Engineering
Georgia Institute of Technology
Academician of the Chinese Academy of Engineering
School of Mechanical Engineering
Shanghai Jiao Tong University
Academician of the Chinese Academy of Engineering
School of Mechanical Engineering
Beihang University
Member, National Academy of Engineering of Korea
Department of Industrial and Management Engineering
Pohang University of Science and Technology (POSTECH)
• Advancements in process monitoring and control
• Analytics for smart and advanced manufacturing
• Systems informatics and control
• Design and analysis of computer experiments
• Reliability modeling and maintenance decision-making
• Machine learning and data mining
• Data quality assurance and data visualization
• Quality and reliability analysis in Industry 4.0
• Data analytics in healthcare applications
• Science- and physics-informed machine learning
• Prognostics and health management
• Digital twins and uncertainty quantification
Shanghai International Convention Center
2727 Riverside Avenue, Lujiazui, Pudong, Shanghai, China
Tel: +86 021-5160 1114
Email: hotel@shicc.net