| Abstract: | New integrated quality and reliability models and analysis tools are being developed to aid in the successful development and commercialization of certain novel and evolving technologies. We are developing reliability models for systems composed of degrading components being subjected to a shock process. The traditional decoupling of quality and reliability is inadequate or inappropriate for many recently developed device types and technologies because of unique design or manufacturing challenges including dimensional tolerances or evolving manufacturing processes. Specific research tasks in this project are to develop an integrated quantitative methodology to jointly optimize system quality and reliability and to investigate reliability models for multiple failure processes and complex multi-component systems. Without effective and innovative research on quality and reliability, the continued advancement of many promising technologies may not reach its full potential. To successfully achieve these objectives, the new models integrate multidisciplinary research areas: quality and reliability engineering, probability and statistics, multi-objective optimization methods, and system design and manufacturing. The models and optimization approaches resulting from this research represent research advancements that may ultimately lead to effective quality and reliability improvement for other developing technologies. |
| Affiliation: | David W. Coit is a Professor in the Department of Industrial & Systems Engineering at Rutgers University. His current research involves system reliability modeling and optimization, risk analysis, and multi-criteria optimization considering uncertainty. He received a BS degree in mechanical engineering from Cornell University, an MBA from Rensselaer Polytechnic Institute, and MS and PhD in industrial engineering from the University of Pittsburgh. He also has over ten years of experience working for IIT Research Institute (IITRI), Rome NY, where he was a reliability analyst, project manager, and engineering group manager. In 1999, he was awarded a CAREER grant from NSF to develop new reliability optimization algorithms. In 2010, he was awarded a NSF grant to study the integration of quality and reliability models for evolving technologies. In 2008, he was an instructor at the System Reliability Workshop sponsored by the Chinese Academy of Sciences (CAS) and held at Beihang University, Beijing, China. He also has been funded by U.S. Army, U.S. Navy, industry, and power utilities. He is a member of IIE and INFORMS. |
