A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology

Jye-Chyi Lu, Shuen-Lin Jeng, Kaibo Wang
2009 Journal of QualityTechnology  
Nanotechnology has received a considerable amount of attention from various fields and has become a multidisciplinary subject, where several research ventures have taken place in recent years. This field is expected to affect every sector of our economy and daily life in the near future. Besides advances in physics, chemistry, biology, and other science-based technologies, the use of statistical methods has also helped the rapid development of nanotechnology in terms of data collection,
more » ... collection, treatment-effect estimation, hypothesis testing, and quality control. This paper reviews some instances where statistical methods have been used in nanoscale applications. Topics include experimental design, uncertainty modeling, process optimization and monitoring, and areas for future research efforts. Because measurements with complicated data patterns are frequently seen in experiments in nanotechnology, the collection, analysis, and modeling Vol. 41, No. 2, April 2009 www.asq.org FIGURE 7. A Framework of Predictive Controllers with Multiscale Models.
doi:10.1080/00224065.2009.11917770 fatcat:izaiqisx6nftpdmqvceghmjpgq