Abstract
This paper deals with experimental planning and optimization in response surface methodology. It aims at addressing two main issues: i) the optimization of a split-plot design in the multiple response case by the use of a robust-design approach and ii) the related problem of weighting the responses according to the actual importance of these variables and the target values when performing simultaneous optimization. An application to the study of a Numerical Control machine in order to improve the accuracy of the measurement process and to reduce the measurement time is presented.
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Berni, R. (2010). Split-Plot and Robust Designs: Weighting and Optimization in the Multiple Response Case. In: Giovagnoli, A., Atkinson, A., Torsney, B., May, C. (eds) mODa 9 – Advances in Model-Oriented Design and Analysis. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2410-0_4
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DOI: https://doi.org/10.1007/978-3-7908-2410-0_4
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Online ISBN: 978-3-7908-2410-0
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