Robust parameter design: Optimization of combined array approach with orthogonal arrays

Evangelaras, H; Kolaiti, E; Koukouvinos, C

dc.contributor.author	Evangelaras, H	en
dc.contributor.author	Kolaiti, E	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:25:05Z
dc.date.available	2014-03-01T01:25:05Z
dc.date.issued	2006	en
dc.identifier.issn	0378-3758	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17541
dc.subject	Alias matrix	en
dc.subject	Combined array	en
dc.subject	Control and noise factors	en
dc.subject	Identifiable models	en
dc.subject	Orthogonal arrays	en
dc.subject	Robust parameter design	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	RESPONSE-SURFACE METHODOLOGY	en
dc.subject.other	COMPUTER EXPERIMENTS	en
dc.subject.other	QUALITY IMPROVEMENT	en
dc.subject.other	HADAMARD-MATRICES	en
dc.subject.other	PLACKETT	en
dc.subject.other	BURMAN	en
dc.title	Robust parameter design: Optimization of combined array approach with orthogonal arrays	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jspi.2005.02.023	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jspi.2005.02.023	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Robust parameter design, originally proposed by Taguchi (1987. System of Experimental Design, vols. I and II. UNIPUB, New York), is an off-line production technique for reducing variation and improving a product's quality by using product arrays. However, the use of product arrays results in an exorbitant number of runs. To overcome the drawbacks of the product array several scientists proposed the use of combined arrays, where the control and noise factors are combined in a single array. In this paper, we use certain orthogonal arrays that are embedded into Hadamard matrices as combined arrays, in order to identify a model that contains all the main effects (control and noise) and their control-by-noise interactions with high efficiency. Aliasing of effects in each case is also discussed. (c) 2005 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Statistical Planning and Inference	en
dc.identifier.doi	10.1016/j.jspi.2005.02.023	en
dc.identifier.isi	ISI:000238893600020	en
dc.identifier.volume	136	en
dc.identifier.issue	10	en
dc.identifier.spage	3698	en
dc.identifier.epage	3709	en