Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6988
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dc.contributor.authorOlcaytu, Evren-
dc.contributor.authorKuyzu, Gültekin-
dc.date.accessioned2021-09-11T15:44:43Z-
dc.date.available2021-09-11T15:44:43Z-
dc.date.issued2021en_US
dc.identifier.issn1942-7867-
dc.identifier.issn1942-7875-
dc.identifier.urihttps://doi.org/10.1080/19427867.2019.1700011-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6988-
dc.description.abstractStochastic bid price optimization of truckload carriers in simultaneous independent transportation auctions requires estimating the probability distributions of the clearing prices. Historical data can be used for this purpose. The sole estimation method found in the literature for this problem setting only takes the length of the auction load into account. In this paper, we devise methods for load-specific parameter estimation by filtering out data coming from past auction loads with distant origin or destination locations. Through simulations, we demonstrate that our methods can improve the profitability of the carriers compared to the previously used method.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofTransportation Letters-The International Journal of Transportation Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectProcurement auctionsen_US
dc.subjecttruckload transportationen_US
dc.subjectstochastic optimizationen_US
dc.subjectbiddingen_US
dc.subjectparameter estimationen_US
dc.titleLocation-Based Distribution Estimation for Stochastic Bid Price Optimizationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume13en_US
dc.identifier.issue1en_US
dc.identifier.startpage21en_US
dc.identifier.endpage35en_US
dc.authorid0000-0002-1997-306X-
dc.authorid0000-0002-4179-9627-
dc.identifier.wosWOS:000502750800001en_US
dc.identifier.scopus2-s2.0-85076441476en_US
dc.institutionauthorKuyzu, Gültekin-
dc.identifier.doi10.1080/19427867.2019.1700011-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
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
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