جلد 24، شماره 2 - ( 3-1392 )                   جلد 24 شماره 2 صفحات 113-121 | برگشت به فهرست نسخه ها


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HosseinHejazi T, Ramezani M, Seyyed-Esfahani M, Kimiagari A M. Multiple Response Optimization with Probabilistic Covariates Using Simultaneous Equation Systems (Quality Engineering Conference Paper). IJIEPR. 2013; 24 (2) :113-121
URL: http://ijiepr.iust.ac.ir/article-1-502-fa.html
Multiple Response Optimization with Probabilistic Covariates Using Simultaneous Equation Systems (Quality Engineering Conference Paper). نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1392; 24 (2) :113-121

URL: http://ijiepr.iust.ac.ir/article-1-502-fa.html


چکیده:   (2510 مشاهده)
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.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimization Techniques
دریافت: ۱۳۹۱/۱۱/۹ | پذیرش: ۱۳۹۲/۳/۲۷ | انتشار: ۱۳۹۲/۴/۲۴

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