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Web-based knowledge elicitation and application to planned experiments for product development

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.
8e7d48e9-9655-4ab9-9c50-1843cd36b16c
Keane, A.J.
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Tindall, M.J.
c9bcfff9-902d-43f9-8d16-4ab49e73b789
Dupplaw, D.
6f790d89-54f1-4e96-91e1-fee638ceefbb
Brunson, D.
a4279438-93f1-464a-be88-3b27ba043e58
Vine, A.E.
0b9da504-9342-4aa1-ae7f-2c6333629804
Please, C.P.
48277c2e-c9eb-46f8-8995-1cf885922818
Lewis, S.M.
497d2b91-57ff-4d2d-9b21-457f89f4c4e3
Dean, A.M.
8e7d48e9-9655-4ab9-9c50-1843cd36b16c
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Tindall, M.J.
c9bcfff9-902d-43f9-8d16-4ab49e73b789

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. pp. 1-9 .

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.

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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
ORCID for A.J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

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: A.J. Keane ORCID iD
Author: M.J. Tindall

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