Small Sample Experimental Design Optimization and Repair
Author(s) -
A. J. Honson,
D. DeCarli,
Stephen V. Crowder
Publication year - 1999
Language(s) - English
Resource type - Reports
DOI - 10.2172/5982
Subject(s) - design of experiments , process (computing) , sample (material) , computer science , product (mathematics) , reliability engineering , industrial engineering , process engineering , engineering , mathematics , statistics , chemistry , chromatography , geometry , operating system
The primary goal of using Design of Experiment (DOEx) methods is to extract the maximum amount of information concerning experimental factors and their interactions from as few observations as possible. DOEx methodology allows an experimenter to selectively and systematically adjust process settings to learn which factors have the greatest impact on process and product performance. Using information about these factors, process settings can be adjusted until optimum performance is obtained
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