Retailer layout design: A novel hybrid approach with association rules mining and MCRAFT

Basit Öğe Kaydı
dc.authorid0000-0003-1411-0369
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorCesur, Elif Karakaya
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2019-06-14T12:25:31Z
dc.date.available2019-06-14T12:25:31Z
dc.date.issued2020
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractSpatial layout of a retail store is a crucial decision variable related to both utilisation of store area and purchasing behaviour of the customer. In this respect, the task of optimising the allocation of shelves to specific product segments has become a strategic decision to facilitate a more comfortable shopping environment for customers, which, in turn, increases sales volume. This study proposes a novel hybrid approach to facility layout design problem, which combines association rules mining (ARM) and a facility layout method, MCRAFT. The proposed methodology is composed of two main stages: 1) rule mining; 2) layout design. More specifically, the presented approach exploits the association rules obtained from purchasing records and uses them as a proximity measure input to MCRAFT algorithm to determine the layout of the store. The merit of the proposed methodology is shown with a case study on a prominent Turkish supermarket chain.
dc.identifier.citationKuşakcı, A.O. ve Cesur, E.K. (2020). Retailer layout design: A novel hybrid approach with association rules mining and MCRAFT. International Journal of Industrial and Systems Engineering, 35(4), 389–409.
dc.identifier.doi10.1504/IJISE.2020.10019544
dc.identifier.endpage409
dc.identifier.issn1748-5045
dc.identifier.issn1748-5037
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85093920830
dc.identifier.scopusqualityQ3
dc.identifier.startpage389
dc.identifier.urihttps://dx.doi.org/10.1504/IJISE.2020.10019544
dc.identifier.urihttps://hdl.handle.net/20.500.12154/715
dc.identifier.volume35
dc.indekslendigikaynakScopus
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherInderscience
dc.relation.ihupublicationcategory118
dc.relation.ispartofInternational Journal of Industrial and Systems Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAssociation Rule Mining
dc.subjectARM
dc.subjectFacility Layout Algorithm
dc.subjectSupermarket Layout
dc.subjectApriori Algorithm
dc.titleRetailer layout design: A novel hybrid approach with association rules mining and MCRAFT
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
Kusakci_Retailer layout.pdf
Boyut:
309.03 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
license.txt
Boyut:
1.52 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

İşletme Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu