Iterative Designed Experiment Analysis (IDEA)

In the traditional use of design of experiments (DOE), the analysis of a designed experiment proceeds only when the designed plan has been fully carried out and the response values are all available, a standard practice that could be inefficient in time and cost and inadequate when quick indicative...

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Bibliographic Details
Published in:Quality and reliability engineering international 2016-12, Vol.32 (8), p.2977-2986
Main Authors: Zhou, Min, Goh, T.N.
Format: Article
Language:English
Subjects:
adaptive learning
Cost analysis
design of experiment (DOE)
Design of experiments
factorial design
Indication
missing data
Reliability engineering
Screening
screening experiments
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Summary:In the traditional use of design of experiments (DOE), the analysis of a designed experiment proceeds only when the designed plan has been fully carried out and the response values are all available, a standard practice that could be inefficient in time and cost and inadequate when quick indicative results are needed. A procedure referred to as ‘iterative designed experiment analysis (IDEA)’ is proposed for suggesting results progressively and giving early indications in situations where response values are available only gradually. The procedure is expected to be useful in the early stages of experimental discovery, especially in factor screening situation. Two case studies illustrate and suggest the potential of the proposed method. Copyright © 2016 John Wiley & Sons, Ltd.
ISSN:0748-8017
1099-1638
DOI:10.1002/qre.1981