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Implementation of Design of Experiments projects in industry
Author(s) -
Tanco Martín,
Viles Elisabeth,
Ilzarbe Laura,
Alvarez María Jesus
Publication year - 2009
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.779
Subject(s) - six sigma , dmaic , design for six sigma , computer science , process (computing) , quality (philosophy) , point (geometry) , design of experiments , feature (linguistics) , management science , engineering design process , manufacturing engineering , industrial engineering , engineering management , engineering , mathematics , mechanical engineering , philosophy , statistics , geometry , linguistics , epistemology , lean manufacturing , operating system
Although design of experiments (DoE) is a common feature of statistics and quality literature, it is insufficiently used in industry. Surveys and numerous articles alike have verified that a gap exists between theoretical development and its effective application in industry. Therefore, we have developed a complete, friendly and easy‐to use methodology, from an engineering point of view, to ease the implementation of DoE in companies. Our approach presents a framework for the experimentation process that follows the traditional DMAIC steps of ‘Six Sigma’ as a generic problem solving methodology. We aim to present a complete overview of the experimentation process useful for those engineers, statisticians and scientists who are not experts in DoE. Copyright © 2009 John Wiley & Sons, Ltd.