An efficient experiment methodology to investigate product design: an acoustic sounder case study
An efficient experiment methodology to investigate product design: an acoustic sounder case study
An innovative experiment methodology is described which enables the investigation, through planned experiment, of component aspects of a manufactured product whose values cannot be economically set to specified values in an experiment. These aspects are called semicontrolled
factors and their presence in an investigation means that conventional experiment plans cannot be employed.
The proposed method of experimentation integrates the study of
the manufacturing system and the product design. It involves obtaining samples of components from production and careful measurement of their relevant features. The new approach is demonstrated through a case study on the design and analysis of an experiment to investigate how seven factors influence the performance of an electro-mechanical product called an acoustic sounder. A computer search is used to select from a batch of available components those sets which, when assembled into products, will enable maximum information to be gained from product testing. To facilitate this extensive search, an exchange algorithm and a genetic algorithm have been employed. These algorithms are described and their performances in searching for a plan are compared for the case study.
assembly, component, design of experiments, d-optimality, electro-mechanical, factorial, experiment, genetic algorithm, search algorithm, semi-controlled
Anthony, D.K.
68b00ebe-cbfb-498b-aa24-c287bab1f875
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Charlston, W.B.
1b1ac033-a7ad-464d-8b9f-62ac001c0109
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e
2003
Anthony, D.K.
68b00ebe-cbfb-498b-aa24-c287bab1f875
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Charlston, W.B.
1b1ac033-a7ad-464d-8b9f-62ac001c0109
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e
Anthony, D.K., Sexton, C.J., Charlston, W.B., Keane, A.J., Lewis, S.M. and Please, C.P.
(2003)
An efficient experiment methodology to investigate product design: an acoustic sounder case study.
Proceedings of the International Conference on Managing Innovative Manufacturing (MIM2003), Aalborg, Denmark.
22 - 23 Sep 2003.
Record type:
Conference or Workshop Item
(Paper)
Abstract
An innovative experiment methodology is described which enables the investigation, through planned experiment, of component aspects of a manufactured product whose values cannot be economically set to specified values in an experiment. These aspects are called semicontrolled
factors and their presence in an investigation means that conventional experiment plans cannot be employed.
The proposed method of experimentation integrates the study of
the manufacturing system and the product design. It involves obtaining samples of components from production and careful measurement of their relevant features. The new approach is demonstrated through a case study on the design and analysis of an experiment to investigate how seven factors influence the performance of an electro-mechanical product called an acoustic sounder. A computer search is used to select from a batch of available components those sets which, when assembled into products, will enable maximum information to be gained from product testing. To facilitate this extensive search, an exchange algorithm and a genetic algorithm have been employed. These algorithms are described and their performances in searching for a plan are compared for the case study.
Text
anth_03.pdf
- Accepted Manuscript
More information
Published date: 2003
Venue - Dates:
Proceedings of the International Conference on Managing Innovative Manufacturing (MIM2003), Aalborg, Denmark, 2003-09-22 - 2003-09-23
Keywords:
assembly, component, design of experiments, d-optimality, electro-mechanical, factorial, experiment, genetic algorithm, search algorithm, semi-controlled
Identifiers
Local EPrints ID: 23532
URI: http://eprints.soton.ac.uk/id/eprint/23532
PURE UUID: 41e76ddb-c9a4-4ced-99e3-3f9a6ec17acd
Catalogue record
Date deposited: 02 Jun 2006
Last modified: 16 Mar 2024 02:53
Export record
Contributors
Author:
D.K. Anthony
Author:
C.J. Sexton
Author:
W.B. Charlston
Author:
S.M. Lewis
Author:
C.P. Please
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics