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Improving the Design Process by Predicting Downstream Values of Design Attributes

Published

Author(s)

Simon Szykman

Abstract

This paper presents a computational approach to developing space models that are utilized to improve the design process by predicting values of downstream design attributes based on information available at early stages, such as preliminary design specifications. The predictive models are similar in function (though not in form) to the internal models created by experienced designers; however, the advantages of these models are that it may be possible to construct them in the absence of a designer''s internal models, and that they can be passed on to and used by less experienced designers. Once created, these models aid designers in exploration of design alternatives and to reduce design costs and product development time
Proceedings Title
Proceedings of the 1996 ASME Design Engineering Technical Conferences and Computers in Engineering Conference (8th International Conference on Design Theory and Methodology)
Conference Location
Irvin, CA
Conference Title
Paper No. 96-DETC/DTM-1520

Keywords

computational methods of design, Design process improvement, design tool development

Citation

Szykman, S. (1996), Improving the Design Process by Predicting Downstream Values of Design Attributes, Proceedings of the 1996 ASME Design Engineering Technical Conferences and Computers in Engineering Conference (8th International Conference on Design Theory and Methodology), Irvin, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821538 (Accessed December 10, 2023)
Created August 1, 1996, Updated February 17, 2017