Strong guidance on mitigating the effects of uncertainties in the brass casting blending problem: a hybrid optimization approach

Basit Öğe Kaydı
dc.contributor.authorSakallı, U. S.
dc.contributor.authorBaykoç, O. F.
dc.date.accessioned2020-06-25T18:07:23Z
dc.date.available2020-06-25T18:07:23Z
dc.date.issued2013
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe scrap charge optimization problem in the brass casting process is a critical management concern that aims to reduce the charge while preventing specification violations. Uncertainties in scrap material compositions often cause violations in product standards. In this study, we have discussed the aleatory and epistemic uncertainties and modelled them by using probability and possibility distributions, respectively. Mathematical models including probabilistic and possibilistic parameters are generally solved by transforming one type of parameter into the other. However, the transformation processes have some handicaps such as knowledge losses or virtual information production. In this paper, we have proposed a new solution approach that needs no transformation process and so eliminates these handicaps. The proposed approach combines both chance-constrained stochastic programming and possibilistic programming. The solution of the numerical example has shown that the blending problem including probabilistic and possibilistic uncertainties can be successfully handled and solved by the proposed approach. Journal of the Operational Research Society (2013) 64, 562-576. doi:10.1057/jors.2012.50en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1057/jors.2012.50
dc.identifier.endpage576en_US
dc.identifier.issn0160-5682
dc.identifier.issn1476-9360
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84874616826
dc.identifier.scopusqualityQ1
dc.identifier.startpage562en_US
dc.identifier.urihttps://doi.org/10.1057/jors.2012.50
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5560
dc.identifier.volume64en_US
dc.identifier.wosWOS:000315819600007
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal Of The Operational Research Society
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectblending problemen_US
dc.subjectstochastic programmingen_US
dc.subjectpossibilistic programmingen_US
dc.subjectbrass castingen_US
dc.titleStrong guidance on mitigating the effects of uncertainties in the brass casting blending problem: a hybrid optimization approachen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Strong guidance on mitigating the effects of uncertainties in the brass casting blending problem a hybrid optimization approach.pdf
Boyut:
899.96 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu