Assortment Optimization With Log-Linear Demand: Application at a Turkish Grocery Store
dc.contributor.author | Hekimoğlu, Mustafa | |
dc.contributor.author | Sevim, İsmail | |
dc.contributor.author | Aksezer, Çağlar Sezgin | |
dc.contributor.author | Durmuş, İpek | |
dc.date.accessioned | 2019-06-28T11:10:41Z | |
dc.date.available | 2019-06-28T11:10:41Z | |
dc.date.issued | 2019 | |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
dc.description.abstract | In retail sector product variety increases faster than shelf spaces of retail stores where goods are presented to consumers. Hence assortment planning is an important task for sustained financial success of a retailer in a competitive business environment. In this study we consider the assortment planning problem of a retailer in Turkey. Using empirical point-of-sale data a demand model is developed and utilized in the optimization model. Due to nonlinear nature of the model and integrality constraint we find that it is difficult to obtain a solution even for moderately large product sets. We propose a greedy heuristic approach that generates better results than the mixed integer nonlinear programming in a reasonably shorter period of time for medium and large problem sizes. We also proved that our method has a worst-case time complexity of O(n 2 )while other two well-known heuristics’ complexities are O(n 3 )and O(n 4 ). Also numerical experiments reveal that our method has a better performance than the worst-case as it generates better results in a much shorter run-times compared to other methods. © 2019 Elsevier Ltd | en_US] |
dc.identifier.citation | 5 | |
dc.identifier.doi | 10.1016/j.jretconser.2019.04.007 | en_US |
dc.identifier.endpage | 214 | |
dc.identifier.issn | 0969-6989 | en_US |
dc.identifier.issn | 0969-6989 | |
dc.identifier.scopus | 2-s2.0-85065862389 | en_US |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 199 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1249 | |
dc.identifier.uri | https://doi.org/10.1016/j.jretconser.2019.04.007 | |
dc.identifier.volume | 50 | en_US |
dc.identifier.wos | WOS:000471928200023 | en_US |
dc.identifier.wosquality | Q1 | |
dc.institutionauthor | Hekimoğlu, Mustafa | en_US |
dc.institutionauthor | Hekimoğlu, Mustafa | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.journal | Journal of Retailing and Consumer Services | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.title | Assortment Optimization With Log-Linear Demand: Application at a Turkish Grocery Store | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 533132ce-5631-4068-91c5-2806df0f65bb | |
relation.isAuthorOfPublication.latestForDiscovery | 533132ce-5631-4068-91c5-2806df0f65bb |