Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6364
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÇömez, Dolgan Nagihan-
dc.contributor.authorFescioğlu, Ünver Nilgün-
dc.contributor.authorCephe, Ecem-
dc.contributor.authorŞen, Alper-
dc.date.accessioned2021-09-11T15:36:03Z-
dc.date.available2021-09-11T15:36:03Z-
dc.date.issued2021en_US
dc.identifier.issn0377-2217-
dc.identifier.issn1872-6860-
dc.identifier.urihttps://doi.org/10.1016/j.ejor.2021.02.026-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6364-
dc.description.abstractBuyers have easier access to a variety of products with the rise of multi-channel distribution strategies and the increase in new product introductions. On the other hand, firms experience greater pressure in offering the correct product variety given that the manufacturing infrastructure often imposes physical and financial constraints in attaining variety. This study examines a firm's optimal assortment planning problem under an exogenous demand model, where each customer has a predetermined preference for each product from a potential set. Proportional demand substitutions are allowed from out-of-assortment products to those available. We show that the problem is NP-complete. We also show that an optimal assortment is composed of some number of the highest margin products, if one product having a higher margin than another implies that the former product has a lower demand rate than the latter. The firm's assortment capacity is fully utilized at the optimum if the customers' substitution ratio does not exceed a particular threshold. We also introduce several approximate assortment policies that can be easily implemented, and test these policies through extensive numerical analyses. The results reveal that some of the policies can provide less than a 1% profit gap with an optimal solution for a 20-product set. The policy's performance highly depends on the firm's assortment capacity-to-product set size ratio. Moreover, we provide performance bounds for two of these well-performing approximate policies. (c) 2021 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [110M488]en_US
dc.description.sponsorshipThis research has been partially supported by the Scientific and Technological Research Council of Turkey (TUBITAK) Grant 110M488 .en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectProductionen_US
dc.subjectProduction varietyen_US
dc.subjectSubstitutionen_US
dc.subjectAssortment capacityen_US
dc.subjectExogenous demanden_US
dc.titleCapacitated Strategic Assortment Planning Under Explicit Demand Substitutionen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume294en_US
dc.identifier.issue3en_US
dc.identifier.startpage1120en_US
dc.identifier.endpage1138en_US
dc.identifier.wosWOS:000661915300022en_US
dc.identifier.scopus2-s2.0-85101887763en_US
dc.institutionauthorFescioğlu Ünver, Nilgün-
dc.identifier.doi10.1016/j.ejor.2021.02.026-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Aug 31, 2024

Page view(s)

84
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.