Multiple Response Optimization with Probabilistic Covariates Using Simultaneous Equation Systems (Quality Engineering Conference Paper)

control of production processes in an industrial environment needs the correct setting of input factors, so that output products with desirable characteristics will be resulted at minimum cost. Moreover, such systems havetomeetset of qualitycharacteristicstosatisfycustomer requirements.Identifyingth...

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Bibliographic Details
Published in:International journal of industrial engineering & production research 2013-06, Vol.24 (2), p.113-121
Main Authors: Taha HosseinHejazi, Majid Ramezani, Mirmehdi Seyyed-Esfahani, Ali Mohammad Kimiagari
Format: Article
Language:English
Subjects:
Design of experiments
Multiple Response Optimization (MRO)
probabilistic covariate
robust design
System regression
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Summary:control of production processes in an industrial environment needs the correct setting of input factors, so that output products with desirable characteristics will be resulted at minimum cost. Moreover, such systems havetomeetset of qualitycharacteristicstosatisfycustomer requirements.Identifyingthemosteffectivefactorsindesignoftheprocesswhichsupportcontinuousandcontinualimprovement isrecentlydiscussedfromdifferentviewpoints.Inthisstudy, we examined the quality engineering problems in which several characteristics and factors are to be analyzed through a simultaneous equations system. Besides, the several probabilistic covariates can be included to the proposed model. The main purpose of this model is to identify interrelations among exogenous and endogenous variables, which give important insight for systematic improvements of quality. At the end, the proposed approach is described analytically by a numerical example.
ISSN:2008-4889
2345-363X