A perspective of a dual response surface model with a desirability function
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Industrial and Systems Engineers, IISE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The use of response surface analysis is an effective method to improve the quality of products and processes. Along the same line, a dual response surface-based robust parameter design model may reduce product or process variability by selecting levels of input variables. In many products and processes, the researchers and practitioners may need to deal with a desirable response. Therefore, this paper proposes a new dual response surface model-based robust parameter design model with a desirability function to obtain a set of optimal operating conditions for multiple responses while minimizing the product or process variation as possible as. The proposed methodology is efficient and it improves the quality of the products by decreasing the variability in the process. The comparative studies show that proposed method is effective and outperforms the existing procedures. © 2018 Institute of Industrial Engineers (IIE). All rights reserved.
Açıklama
2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018
Anahtar Kelimeler
Continuous quality improvement, Desirability function, Dual response surface model, Optimization, Robust parameter design, Optimization, Surface analysis, Surface properties, Comparative studies, Continuous quality improvement, Desirability function, Dual response surfaces, Dual-response surface models, Optimal operating conditions, Response surface analysis, Robust parameter design, Product design, Continuous quality improvement, Desirability function, Dual response surface model, Optimization, Robust parameter design, Optimization, Surface analysis, Surface properties, Comparative studies, Continuous quality improvement, Desirability function, Dual response surfaces, Dual-response surface models, Optimal operating conditions, Response surface analysis, Robust parameter design, Product design
Kaynak
IISE Annual Conference and Expo 2018
WoS Q Değeri
Scopus Q Değeri
N/A