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

• Main Authors: Taha HosseinHejazi, Majid Ramezani, Mirmehdi Seyyed-Esfahani, Ali Mohammad Kimiagari
• Format: Article
• Language: English
• Published: Iran University of Science & Technology 2013-06-01
• Series: International Journal of Industrial Engineering and Production Research
• Subjects: Design of experiments; Multiple Response Optimization (MRO); robust design; probabilistic covariate; System regression.
• Online Access: http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-24-2&slc_lang=en&sid=1

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.