Abstract
This paper presents a dynamic approach to design process planning which enables continuous design process improvement. The tool utilises a signposting model to suggest the next most appropriate task in the design process. This suggestion is based on the presence of key parameters, their associated confidences and an assessment of the performance of the design process. The assessment proposed has the potential to adapt to the experience of the designer. A case study of mechanical component design is presented to illustrate the behaviour of this model for design process improvement.
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© 2000 Springer Science+Business Media Dordrecht
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Clarkson, P.J., Melo, A., Connor, A. (2000). Signposting for Design Process Improvement. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_17
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DOI: https://doi.org/10.1007/978-94-011-4154-3_17
Publisher Name: Springer, Dordrecht
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