SUMMARY
This paper details the combined application of generalized linear models and non‐linear mathematical programming to the reduction of defects in a complex manufacturing process. Poisson regression techniques were applied to the characterization of multiple‐defect classes identified through visual inspection. A constrained gradient search algorithm was then utilized to locate optimal process operating parameters. An application of the combined approach resulted in significant improvements in the quality of manufactured printed circuit boards.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.