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Quality Improvement from the Viewpoint of Statistical Method
Author(s) -
De Mast Jeroen
Publication year - 2003
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.580
Subject(s) - six sigma , taguchi methods , quality (philosophy) , subject (documents) , quality management , management science , computer science , operations research , process management , engineering , engineering management , industrial engineering , operations management , machine learning , epistemology , management system , philosophy , lean manufacturing , library science
With the purpose of guiding professionals in conducting improvement projects in industry, several quality improvement strategies have been proposed which strongly rely on statistical methods. Examples are the Six Sigma programme, the Shainin System and Taguchi's methods. This paper seeks to make a rational reconstruction of these types of improvement strategies, which results in a methodological framework. The paper gives a demarcation of the subject of study and proposes a reconstruction research approach. Thereupon, the elements of the methodological framework are listed and briefly discussed. Finally, the effectiveness of the framework is illustrated by showing to what extent it reconstructs Six Sigma's Breakthrough Cookbook. Copyright © 2003 John Wiley & Sons, Ltd.