Show simple item record

dc.contributor.advisorŞen, Alper
dc.contributor.authorShams, Farzad
dc.date.accessioned2019-04-17T13:04:55Z
dc.date.available2019-04-17T13:04:55Z
dc.date.copyright2019-04
dc.date.issued2019-04
dc.date.submitted2019-04-17
dc.identifier.urihttp://hdl.handle.net/11693/50837
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2019.en_US
dc.descriptionIncludes bibliographical references (leaves 49-53).en_US
dc.description.abstractWe first consider the assortment optimization problem with fixed product costs under the Mixtures of Multinomials (MMNL) Model. The problem is NP-hard even under the Multinomial Logit Model and the existing literature focuses on developing heuristics and bounds. We develop a conic integer programming formulation for the problem and valid inequalities to strengthen the formulation. We show that this approach can be used to solve instances that are very large { sizes beyond which it would be very difficult to accurately estimate parameters of the choice model { in a short amount of time, eliminating the need to develop and implement specialized algorithms for the problem. We also study the assortment planning problem where the inventory and replenishment costs are considered using the Economic Order Quantity model and the customers' choice is governed by the MMNL model. We show that the problem is NP-hard and propose a conic integer program for this problem. Our numerical experiments show that moderately sized instances can be solved in reasonable times and McCormick inequalities are effective in tightening the formulation.en_US
dc.description.statementofresponsibilityby Farzad Shamsen_US
dc.format.extentxix, 154 leaves : tables ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAssortment optimizationen_US
dc.subjectMixtures of multinomials modelen_US
dc.subjectConic integer programmingen_US
dc.subjectEconomic order quantityen_US
dc.titleAssortment planning under non-linear cost structuresen_US
dc.title.alternativeDoğrusal olmayan maliyet yapısı altında ürün çeşidi planlamaen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB154085
dc.embargo.release2019-10-17


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record