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Towards improved analysis methods for two-level factorial experiments with time series responses

Vanhatalo, Erik (author)
Luleå tekniska universitet,Industriell Ekonomi,Luleå University of Technology, Quality Technology and Management
Bergquist, Bjarne (author)
Luleå tekniska universitet,Industriell Ekonomi,Luleå University of Technology, Quality Technology and Management
Vännman, Kerstin (author)
Luleå tekniska universitet,Umeå universitet,Högskolan Väst,Avd för elektro, lantmäteri och naturvetenskap,PTW,Statistik,Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå, Sweden and Department of Engineering Science, University West, Trollhättan, Sweden,Matematiska vetenskaper
 (creator_code:org_t)
2012-06-18
2013
English.
In: Quality and Reliability Engineering International. - : Wiley. - 0748-8017 .- 1099-1638. ; 29:5, s. 725-741
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Dynamic processes exhibit a time delay between the disturbances and the resulting process response. Therefore, one has to acknowledge process dynamics, such as transition times, when planning and analyzing experiments in dynamic processes. In this article, we explore, discuss, and compare different methods to estimate location effects for two-level factorial experiments where the responses are represented by time series. Particularly, we outline the use of intervention-noise modeling to estimate the effects and to compare this method by using the averages of the response observations in each run as the single response. The comparisons are made by simulated experiments using a dynamic continuous process model. The results show that the effect estimates for the different analysis methods are similar. Using the average of the response in each run, but removing the transition time, is found to be a competitive, robust, and straightforward method, whereas intervention-noise models are found to be more comprehensive, render slightly fewer spurious effects, find more of the active effects for unreplicated experiments and provide the possibility to model effect dynamics. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.

Subject headings

NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)

Keyword

intervention-noise model
location effects
simulation
time series analysis
two-level factorial design
Work-integrated learning
WIL
AIL
Matematik
Mathematics
Work Integrated Learning
Arbetsintegrerat lärande
Kvalitetsteknik
Matemathical Statistics

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ref (subject category)
art (subject category)

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