Multiresponse optimisation of powder metals via probabilistic loss functions

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dc.authorid0000-0002-1150-7064
dc.contributor.authorAksezer, Sezgin Çağlaren_US
dc.contributor.authorBenneyan, James C.en_US
dc.date.accessioned2015-01-15T23:02:18Z
dc.date.available2015-01-15T23:02:18Z
dc.date.issued2013
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.description.abstractQuadratic loss functions have been used extensively within the context of quality engineering and experimental design for process and product optimisation and robust design. In general, this approach determines optimal parameter settings based on minimising the sum of individual or mean loss of the associated response(s) of interest in a defined response surface. While the method is neat and handy, it totally neglects the effect of deviations on the desirable value of loss function. This paper utilises variance and probability distribution of loss functions for developing an in depth optimisation scheme that balances mean and variance of loss in a Pareto optimal manner. Since losses are usually defined in financial terms, this model then further improved to handle the user determined risk levels so that financial losses are being restricted within a certain region of interest. Application of the model is illustrated on a multiresponse optimisation problem from powder metallurgy industry.en_US
dc.description.versionPublisher's Versionen_US
dc.description.versionAuthor Post Printen_US
dc.identifier.citationAksezer, S. Ç. & Benneyan, J. C. (2013). Multiresponse optimisation of powder metals via probabilistic loss functions. European Journal of Industrial Engineering, 7(3), 295-311. doi:10.1504/EJIE.2013.054130en_US
dc.identifier.doi10.1504/EJIE.2013.054130
dc.identifier.endpage311
dc.identifier.issn1751-5254
dc.identifier.issn1751-5262
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84878511845
dc.identifier.scopusqualityQ2
dc.identifier.startpage295
dc.identifier.urihttps://hdl.handle.net/11729/500
dc.identifier.urihttp://dx.doi.org/10.1504/EJIE.2013.054130
dc.identifier.volume7
dc.identifier.wosWOS:000319556900002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAksezer, Sezgin Çağlaren_US
dc.institutionauthorid0000-0002-1150-7064
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofEuropean Journal of Industrial Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectLoss functionsen_US
dc.subjectMultiresponse optimisationen_US
dc.subjectExperimental designen_US
dc.subjectPowder metallurgyen_US
dc.subjectQuality engineeringen_US
dc.subjectRisk constraineden_US
dc.subjectParameter designen_US
dc.subjectTaguchien_US
dc.subjectOptimizationen_US
dc.subjectDesignen_US
dc.subjectFactor settingsen_US
dc.subjectOptimal parameter settingsen_US
dc.subjectPowder metallurgy industryen_US
dc.subjectProduct optimisationen_US
dc.subjectQuadratic loss functionsen_US
dc.subjectRegion of interesten_US
dc.subjectDesign of experimentsen_US
dc.subjectLossesen_US
dc.subjectPowder metalsen_US
dc.subjectProbability distributionsen_US
dc.subjectStatisticsen_US
dc.subjectOptimizationen_US
dc.titleMultiresponse optimisation of powder metals via probabilistic loss functionsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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