Web-based knowledge elicitation and application to planned experiments for product development
Web-based knowledge elicitation and application to planned experiments for product development
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). Here we describe a web-based system for eliciting company knowledge into an efficient two-stage group screening method. The 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. We present a web-based softwared system that allows information and ideas to be contributed by engineers at different sites and uses these expert opinions to guide decisions on the planning of group screening experiments. The software includes elements that predict the total resource needed for the experiment. It also simulates the results of the experiment and estimates the likely percentage of important or active factors that fail to be detected. The approach is illustrated through the planning of an experiment on engine cold start optimization at Jaguar Cars.
1-9
The American Society of Mechanical Engineers
Dupplaw, D.
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Brunson, D.
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Vine, A.E.
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Please, C.P.
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Lewis, S.M.
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Dean, A.M.
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Keane, A.J.
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Tindall, M.J.
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2003
Dupplaw, D.
6f790d89-54f1-4e96-91e1-fee638ceefbb
Brunson, D.
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Vine, A.E.
0b9da504-9342-4aa1-ae7f-2c6333629804
Please, C.P.
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Lewis, S.M.
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Dean, A.M.
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Keane, A.J.
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Tindall, M.J.
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Dupplaw, D., Brunson, D., Vine, A.E., Please, C.P., Lewis, S.M., Dean, A.M., Keane, A.J. and Tindall, M.J.
(2003)
Web-based knowledge elicitation and application to planned experiments for product development.
In Proceedings of the 2003 ASME Design Engineering Technical Conference (DETC03).
The American Society of Mechanical Engineers.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
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). Here we describe a web-based system for eliciting company knowledge into an efficient two-stage group screening method. The 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. We present a web-based softwared system that allows information and ideas to be contributed by engineers at different sites and uses these expert opinions to guide decisions on the planning of group screening experiments. The software includes elements that predict the total resource needed for the experiment. It also simulates the results of the experiment and estimates the likely percentage of important or active factors that fail to be detected. The approach is illustrated through the planning of an experiment on engine cold start optimization at Jaguar Cars.
Text
dupp_03.pdf
- Accepted Manuscript
More information
Published date: 2003
Additional Information:
CIE-2003-76
Venue - Dates:
2003 ASME International Design Engineering Technical Conferences & Computers and Information In Engineering Conference, Chicago, US, 2003-09-02 - 2003-09-06
Identifiers
Local EPrints ID: 23531
URI: http://eprints.soton.ac.uk/id/eprint/23531
PURE UUID: e477868d-5f70-4f05-bf4a-5ceedaef1854
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Date deposited: 30 Mar 2006
Last modified: 16 Mar 2024 02:53
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Contributors
Author:
D. Dupplaw
Author:
D. Brunson
Author:
A.E. Vine
Author:
C.P. Please
Author:
S.M. Lewis
Author:
A.M. Dean
Author:
M.J. Tindall
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