Anthony, D.K., Sexton, C.J., Charlston, W.B., Keane, A.J., Lewis, S.M. and Please, C.P.
An efficient experiment methodology to investigate product design: an acoustic sounder case study
At Proceedings of the International Conference on Managing Innovative Manufacturing (MIM2003).
22 - 23 Sep 2003.
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.
Conference or Workshop Item
|Venue - Dates:
||Proceedings of the International Conference on Managing Innovative Manufacturing (MIM2003), 2003-09-22 - 2003-09-23
||assembly, component, design of experiments, d-optimality, electro-mechanical, factorial, experiment, genetic algorithm, search algorithm, semi-controlled
||02 Jun 2006
||16 Apr 2017 22:44
|Further Information:||Google Scholar|
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