Warehouse layout optimization using association rules

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dc.contributor.authorAylak, Batin Latif
dc.date.accessioned2025-02-06T18:02:15Z
dc.date.available2025-02-06T18:02:15Z
dc.date.issued2022
dc.departmentTAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe enormous growth in the online retailing has enhanced the significance of logistic processes and warehouse technology. Therefore, this study proposes a strategy for the preparation of an optimal warehouse layout, which allows the minimization of the transport and the minimization of the injury risk. The dataset utilized in this study is based on the product orders of a supplier company. An association rule analysis was used to group the frequently co-occurring products in the dataset. The apriori and FPgrowth algorithm were chosen to perform the association rule analysis. A comprehensive analysis of the orders in the period 2015-20 indicates variations in the product grouping over the years. Based on the results of this study, the warehouse layout can be continuously improved depending on the customer orders.
dc.identifier.citationAylak, Batin L. (2022). Warehouse layout optimization using association rules. Fresenius Environmental Bulletin, 31 (03A), 3828-3840.
dc.identifier.endpage3840en_US
dc.identifier.issue03Aen_US
dc.identifier.startpage3828en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1534
dc.identifier.volume31en_US
dc.identifier.wosWOS:000781628000084
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.relation.ispartofFresenius Environmental Bulletin
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectWarehouse layout optimizationen_US
dc.subjectMarket basket analysisen_US
dc.subjectAssociation rule analysisen_US
dc.subjectApriori and FP-growth algorithmsen_US
dc.titleWarehouse layout optimization using association rules
dc.typeArticle

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