Implementation of Design of Experiments projects in industry

被引：60

作者：

Tanco, Martin ^{[1
]}

Viles, Elisabeth ^{[1
]}

Ilzarbe, Laura ^{[1
]}

Alvarez, Maria Jesus ^{[1
]}

机构：

[1] Univ Navarra, TECNUN, San Sebastian, Spain

来源：

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2009年 / 25卷 / 04期

关键词：

design of experiments; industry guidelines; Six Sigma; OPTIMIZATION;

D O I：

10.1002/asmb.779

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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 (C) 2009 John Wiley & Sons, Ltd.

引用

页码：478 / 505

页数：28

共 66 条

[1]

[Anonymous], 2006, THE TQM MAGAZINE

[2]

[Anonymous], 1987, System of Experimental Design: Engineering Methods to Optimize Quality and Minimize Costs, Vols

[3] Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample [J].