Multiresponse robust design: Mean square error (MSE) criterion
Küçük Resim Yok
Tarih
2006
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELSEVIER SCIENCE INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Most of the published literature on robust design methodology is basically concerned with optimization of a single response or quality characteristic which is often most critical to consumers. However, manufactured products are typically characterized by numerous quality characteristics. In this paper we present a general framework for the multivariate problem when data are collected from a combined array. Within the framework, a mean square error (MSE) criterion is utilized and a non-linear multiobjective programming problem based on the individual MSE functions of each response is proposed for quality improvement. We adapted a suitable non-linear optimization algorithm to solve the proposed formulation. The optimization method used in this paper generates a string of solutions, called Pareto optimal solutions, rather than a "one shot" optimum solution to make selections and evaluate the trade-offs. The paper also presents an example and comparative results in order to demonstrate the potentials of the proposed approach. (c) 2005 Elsevier Inc. All rights reserved.
Açıklama
Anahtar Kelimeler
robust design, multiresponse optimization, mean square error, combined array, multiobjective non-linear programming
Kaynak
APPLIED MATHEMATICS AND COMPUTATION
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
175
Sayı
2
