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dc.contributor.advisorŞen, Alper
dc.contributor.authorKaraca, Utku
dc.date.accessioned2018-08-29T13:50:49Z
dc.date.available2018-08-29T13:50:49Z
dc.date.copyright2018-08
dc.date.issued2018-08
dc.date.submitted2018-08-27
dc.identifier.urihttp://hdl.handle.net/11693/47756
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2018.en_US
dc.descriptionIncludes bibliographical references (leaves 61-69).en_US
dc.description.abstractWe have investigated the assortment planning problem for an online retailer that has multiple ful llment centers to maximize its expected pro t. Each ful llment center is responsible for a customer segment which has its own customer pro le, and each customer segment's demand is governed by a multinomial logit model (MNL), resulting in a mixtures of MNL (MMNL) model. A demand is primarily met by the responsible ful llment center, if available. However, if a product is not available in the responsible ful llment center, the demand can be met by ful llment centers in other regions at an additional shipping cost paid by the rm. The shipping cost depends on the distance between regions, so it varies by origin and destination. We assume that each customer has access to the entire assortment in all ful llment centers. To solve this problem, di erent from the literature, we have formulated the problem using a conic quadratic mixed integer programming approach. Later, the conic formulation is strengthened with valid inequalities. We have provided a numerical study to test the performance of our formulation against other formulations. Results show that our conic formulation together with the valid inequalities delivers outstanding performance compared to others in the literature. We also validated our approach using data from a local chain that operates in Northwestern part of Turkey.en_US
dc.description.statementofresponsibilityby Utku Karaca.en_US
dc.format.extentx, 69 leaves : illustrations ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOnline Retailingen_US
dc.subjectMulti-Location Assortment Optimizationen_US
dc.subjectMMNL Modelen_US
dc.subjectConic İnteger Programmingen_US
dc.titleMulti-location assortment optimization under lead time effectsen_US
dc.title.alternativeTeslim süresi etkisi altında çok konumlu ürün çeşidi en iyilemesien_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB158920
dc.embargo.release2020-09-01


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