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

Künye