Combined Generalized Linear Modelling–Non‐Linear Programming Approach to Robust Process Design—A Case‐Study in Circuit Board Quality Improvement

P. A. Brinkley, K. P. Meyer and J. C. Lu

Journal of the Royal Statistical Society Series C, 1996, vol. 45, issue 1, 99-110

Abstract: 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.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:45:y:1996:i:1:p:99-110

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