Abstract
In Chapter 5 models of mean value and variance of the performance characteristics in mass production were derived for cases when errors transmitted from the product parameters to the response are taken into account. Using these models one can find the optimal parameter values. In this chapter we consider optimization procedures that provide robustness of product or process performance characteristics against errors in factor levels. In the next chapters we discuss optimization procedures for cases with external noise factors.
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© 2001 Springer Science+Business Media Dordrecht
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Vuchkov, I.N., Boyadjieva, L.N. (2001). Optimization Procedures for Robust Design of Products and Processes with Errors in the Factors. In: Quality Improvement with Design of Experiments. Topics in Safety, Risk, Reliability and Quality, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0009-7_6
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DOI: https://doi.org/10.1007/978-94-009-0009-7_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-0392-9
Online ISBN: 978-94-009-0009-7
eBook Packages: Springer Book Archive