On the sensitivity of desirability functions for multiresponse optimization

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Tarih

2008-11

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Yayıncı

American Institute of Mathematical Sciences

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

Desirability functions have been one of the most important multiresponse optimization technique since the early eighties. Main reasons for this popularity might be counted as the convenience of the implementation of the method and it's availability in many experimental design software packages. Technique itself involves somehow subjective parameters such as the importance coefficients between response characteristics that are used to calculate overall desirability, weights used in determining the shape of each individual response and the size of the specification band of the response. However, the impact of these sensitive parameters on the solution set is mostly uninvestigated. This paper proposes a procedure to analyze the sensitivity of the important characteristic parameters of desirability functions and their impact on pareto-optimal solution set. The proposed procedure uses the experimental design tools on the solution space and estimates a prediction equation on the overall desirability to identify the sensitive parameters. For illustration, a classical desirability example is selected from the literature and results are given along with the discussion.

Açıklama

Anahtar Kelimeler

Desirability Functions, Parametric Sensitivity Analysis, Multiresponse Optimization, Optimization, Design, Factor settings

Kaynak

Journal of Industrial and Management Optimization

WoS Q Değeri

Q4

Scopus Q Değeri

Q3

Cilt

4

Sayı

4

Künye

Aksezer, Ç. S. (2008). On the sensitivity of desirability functions for multiresponse optimization. Journal of Industrial and Management Optimization, 4(4), 685-696. doi:10.3934/jimo.2008.4.685