When planning experiments to examine how product performance depends on the design, manufacture and environment of use, there are invariably too few resources to enable a complete investigation of all possible variables (factors). We have developed new algorithms for generating and assessing efficient two-stage group screening strategies which are implemented through a web-based system called GISEL. This system elicits company knowledge which is used to guide the formulation of competing two-stage strategies and, via the algorithms, to provide quantitative assessment of their efficiencies. The two-stage group screening method investigates the effect of a large number of factors by grouping them in a first stage experiment whose results identify factors to be further investigated in a second stage. Central to the success of the procedure is ensuring that the factors considered, and their grouping, are based on the best available knowledge of the product. The web-based software system allows information and ideas to be contributed by engineers at different sites and allows the experiment organizer to use these expert opinions to guide decisions on the planning of group screening experiments. The new group screening algorithms implemented within the software give probability distributions and indications of the total resource needed for the experiment. In addition, the algorithms simulate results from the experiment and estimate the percentage of important or active main effects and interactions that fail to be detected. The approach is illustrated through the planning of an experiment on engine cold start optimization at Jaguar Cars.
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September 2004
Technical Papers
A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development
David P. Dupplaw,
David P. Dupplaw
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, England
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David Brunson,
David Brunson
Jaguar Cars Limited, Whitley Engineering Center, Coventry CV3 4LF, England
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Anna-Jane E. Vine,
Anna-Jane E. Vine
Statistical Sciences Research Institute, School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
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Colin P. Please,
Colin P. Please
School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
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Susan M. Lewis,
Susan M. Lewis
Statistical Sciences Research Institute, School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
Email: S.M.Lewis@maths.soton.ac.uk
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Angela M. Dean,
Angela M. Dean
Department of Statistics, Ohio State University, Columbus, OH 43210-1247, USA
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Andy J. Keane,
Andy J. Keane
School of Engineering Sciences, University of Southampton, Southampton SO17 1BJ, England
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Marcus J. Tindall
Marcus J. Tindall
Department of Mathematics, University of Oxford, Oxford OX1 3LB, England
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David P. Dupplaw
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, England
David Brunson
Jaguar Cars Limited, Whitley Engineering Center, Coventry CV3 4LF, England
Anna-Jane E. Vine
Statistical Sciences Research Institute, School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
Colin P. Please
School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
Susan M. Lewis
Email: S.M.Lewis@maths.soton.ac.uk
Statistical Sciences Research Institute, School of Mathematics, University of Southampton, Southampton SO17 1BJ, England
Angela M. Dean
Department of Statistics, Ohio State University, Columbus, OH 43210-1247, USA
Andy J. Keane
School of Engineering Sciences, University of Southampton, Southampton SO17 1BJ, England
Marcus J. Tindall
Department of Mathematics, University of Oxford, Oxford OX1 3LB, England
Contributed by the Computer Aided Product Development (CAPD) Committee for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received July 31, 2003; Revised May 29, 2004. Associate Editor: S. Szykman.
J. Comput. Inf. Sci. Eng. Sep 2004, 4(3): 218-225 (8 pages)
Published Online: September 7, 2004
Article history
Received:
July 31, 2003
Revised:
May 29, 2004
Online:
September 7, 2004
Citation
Dupplaw, D. P., Brunson, D., Vine, A. E., Please, C. P., Lewis, S. M., Dean, A. M., Keane, A. J., and Tindall, M. J. (September 7, 2004). "A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development ." ASME. J. Comput. Inf. Sci. Eng. September 2004; 4(3): 218–225. https://doi.org/10.1115/1.1778192
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