Multiresponse robust design: Mean square error (MSE) criterion
dc.contributor.author | Koksoy, O | |
dc.date.accessioned | 2019-08-01T13:38:39Z | |
dc.date.available | 2019-08-01T13:38:39Z | |
dc.date.issued | 2006 | |
dc.department | Niğde ÖHÜ | |
dc.description.abstract | 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. | |
dc.identifier.doi | 10.1016/j.amc.2005.09.016 | |
dc.identifier.endpage | 1729 | |
dc.identifier.issn | 0096-3003 | |
dc.identifier.issue | 2 | |
dc.identifier.scopus | 2-s2.0-33645869836 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 1716 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.amc.2005.09.016 | |
dc.identifier.uri | https://hdl.handle.net/11480/5525 | |
dc.identifier.volume | 175 | |
dc.identifier.wos | WOS:000237568000058 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Koksoy, O | |
dc.language.iso | en | |
dc.publisher | ELSEVIER SCIENCE INC | |
dc.relation.ispartof | APPLIED MATHEMATICS AND COMPUTATION | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | robust design | |
dc.subject | multiresponse optimization | |
dc.subject | mean square error | |
dc.subject | combined array | |
dc.subject | multiobjective non-linear programming | |
dc.title | Multiresponse robust design: Mean square error (MSE) criterion | |
dc.type | Article |