Joint optimization of mean and standard deviation using response surface methods

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dc.contributor.authorKoksoy, O
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2003
dc.departmentNiğde ÖHÜ
dc.description.abstractTaguchi's robust parameter design calls for simultaneous optimization of the mean and standard deviation responses. The dual response optimization procedures have been adapted to achieve this goal by taking into account both the mean and standard deviation response functions. The popular formulations of the dual response problem typically impose a restriction on the value of the secondary response (i.e., keeping the standard deviation below a specified value) and optimize the primary response function (i.e., maximize or minimize the mean). Restrictions on the secondary response, however, may rule out better conditions, since an acceptable value for the secondary response is usually unknown. In fact, process conditons that result in a smaller standard deviation are often preferable. A more flexible formulation of the problem can be achieved by considering the secondary response as another primary response. The proposed method will generate more alternative solutions, called Pareto optimal solutions. This gives more flexibility to the decision-maker in exploring alternative solutions. It is also insightful to examine graphically how the controllable variables simultaneously impact the mean and standard deviation. The procedure is illustrated with three examples, using both the NIMBUS software for nonlinear multiobjective programming and the Solver in the Excel spreadsheet.
dc.identifier.endpage252
dc.identifier.issn0022-4065
dc.identifier.issue3
dc.identifier.scopus2-s2.0-1442336099
dc.identifier.scopusqualityQ1
dc.identifier.startpage239
dc.identifier.urihttps://hdl.handle.net/11480/5709
dc.identifier.volume35
dc.identifier.wosWOS:000183968100003
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKoksoy, O
dc.language.isoen
dc.publisherAMER SOC QUALITY CONTROL-ASQC
dc.relation.ispartofJOURNAL OF QUALITY TECHNOLOGY
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectdual response optimization
dc.subjectquality improvement
dc.subjectresponse surface methodology
dc.subjectsimultaneous optimization
dc.subjectTaguchi's robust parameter design
dc.titleJoint optimization of mean and standard deviation using response surface methods
dc.typeArticle

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