Abstract

Around 80 per cent of the costs and problems of quality are created in product development. The paper overviews a knowledge-based design technique for the prediction of potential variability risks in component manufacture and assembly, and presents a method for linking the risk metrics to notions of design acceptability and potential costs of quality in production and service. The paper considers issues related to application of the work to industrial products and describes its coupling with failure modes and effects analysis.

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