Abstract
This paper presents a modeling approach that can be used as an engineering design tool to predict the effects of various design choices on product quality. The mathematical model provides a rigorous functional relationship between dependent and independent variables. The dependent variables quantify product quality in the physical domain in terms of design functional requirements the product must possess. The independent variables quantify the design choices in terms of nominal dimensions, degrees of freedom and tolerances. An example application is presented to illustrate how product quality can be achieved by appropriately tuning the design parameters in a constrained design context.
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© 2006 Springer-Verlag London Limited
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Laperrière, L., Ghie, W., Desrochers, A. (2006). Predicting Design Quality through Sensitivity Modeling. In: ElMaraghy, H.A., ElMaraghy, W.H. (eds) Advances in Design. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/1-84628-210-1_39
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DOI: https://doi.org/10.1007/1-84628-210-1_39
Publisher Name: Springer, London
Print ISBN: 978-1-84628-004-7
Online ISBN: 978-1-84628-210-2
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