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Abstract

Product variation is a key piece of information that flows from the design function to manufacturing function in an enterprise. Every, engineering design is subject to variation that can arise from a variety of sources, including manufacturing operations, variation in material properties, and at the operating environment. Engineers must deal with variations in the products they design and manufacture. They have to produce robust designs by assessing the expected size of variation and determining the risk of failure. The best time to reduce the impact of variation is in the early stages of design process. Variation analysis in mechanical design becomes an essential practice.

This paper presents a review of statistical tolerance analysis and the robust design approaches. The main objective of tolerance analysis and robust design domains is to control the geometrical and operational variation of product. Tolerance analysis and robust design methods are based on several precise hypotheses and conditions.

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© 2002 Springer Science+Business Media Dordrecht

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Bennis, F. (2002). Robust Design and Statistical Tolerance Analysis. In: Chedmail, P., Cognet, G., Fortin, C., Mascle, C., Pegna, J. (eds) Integrated Design and Manufacturing in Mechanical Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9966-5_9

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  • DOI: https://doi.org/10.1007/978-94-015-9966-5_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6157-7

  • Online ISBN: 978-94-015-9966-5

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