A PROPOSED RESPONSE SURFACE-BASED ROBUST DESIGN MODEL FOR QUALITY ENGINEERING PROBLEMS

dc.contributor.authorÖzdemir, Akın
dc.date.accessioned2024-10-04T19:04:03Z
dc.date.available2024-10-04T19:04:03Z
dc.date.issued2020
dc.departmentBayburt Üniversitesien_US
dc.description.abstractThe aim of robust design models is to reduce the variability reduction as small as possible. The process bias defined as a difference between the desired target value and the process mean is an important concern for quality engineering problems. In addition, the selection of different variability measures may also change optimal operating conditions for a response variable. Therefore, this paper is three-fold. One, another view of the dual response model is proposed with the three different variability measures in order to determine optimum robust design solutions for input variables while minimizing the process bias. Two, the linearization of constraints is performed using the sequential quadratic programming method as an effective optimization method. Three, a printing process from the literature is conducted to obtain the best optimal settings for input variables. Finally, the results of the proposed model show approximately % 16 more variance reduction than traditional models.en_US
dc.identifier.endpage205en_US
dc.identifier.issn2564-6605
dc.identifier.issue1en_US
dc.identifier.startpage195en_US
dc.identifier.trdizinid362511en_US
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/362511
dc.identifier.urihttp://hdl.handle.net/20.500.12403/4117
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofNiğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleA PROPOSED RESPONSE SURFACE-BASED ROBUST DESIGN MODEL FOR QUALITY ENGINEERING PROBLEMSen_US
dc.typeArticleen_US

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