Abstract
Due to the development of science and technology the requirements of customers and users for a product are more and more tight and higher. The satisfaction of these, such as quality, reliability, robustness and cost of the product plays an important role in the context of global and concurrent economy. However, there are many variation sources during the product life cycle such as material defects, manufacturing imperfection, different use conditions of the product, etc. It can make the designed product not to meet fully the requirements of the users. Thus, we propose, in this chapter, several analysis methods based on data mining tools in order to analyze the result of performance simulation of the product taking into account the geometrical deviations generated during its life cycle. These methods allow classifying and identifying factors that influence on performance of the designed product. With these methods, the product designers can analyze the “real” performance under geometrical variation sources generated in the practical environment. Moreover, the proposed methods can be used to transfer back the result of the “real” performance analysis of the product to the manufacturer and product designer in order to obtain a robust product.
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© 2011 Springer-Verlag Berlin Heidelberg
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Nguyen, D.S., Vignat, F., Brissaud, D. (2011). Integration of Multiphysical Phenomena in Robust Design Methodology. In: Bernard, A. (eds) Global Product Development. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15973-2_17
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DOI: https://doi.org/10.1007/978-3-642-15973-2_17
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