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Implementation of Design of Experiments projects in industry

Martín Tanco, Elisabeth Viles, Laura Ilzarbe and María Jesus Alvarez

Applied Stochastic Models in Business and Industry, 2009, vol. 25, issue 4, 478-505

Abstract: 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.

Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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https://doi.org/10.1002/asmb.779

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