Green location and routing problems with conventional vehicles and drones

buir.advisorYetiş, Bahar
dc.contributor.authorDükkancı, Okan
dc.date.accessioned2019-06-14T08:13:11Z
dc.date.available2019-06-14T08:13:11Z
dc.date.copyright2019-05
dc.date.issued2019-05
dc.date.submitted2019-06-12
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (Ph.D.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2019.en_US
dc.descriptionIncludes bibliographical references (pages 166-192).en_US
dc.description.abstractGreen Location and Routing Problems extend the network design problems that consider location and routing decisions by explicitly accounting environmental impacts such as CO2 emissions caused by fuel or energy consumption of delivery vehicles. These environmental impacts estimated by fuel or energy consumption models are a ected by several factors including payload and speed of delivery vehicles. We present four new green location and routing problems where we consider these factors while calculating the environmental impacts. We rst introduce the Green Location-Routing Problem, in which vehicle payload and speed decisions are incorporated to a location-routing problem and the fuel consumption of trucks is estimated and minimized. Second, we study the Green Hub Location Problem, where we minimize the fuel consumption by optimizing truck payload and speed decisions on a hub network. Third, we present a freight transportation problem called the Drone Delivery Problem, where the integration of trucks and drones is used to make deliveries. Drone speed is considered as a decision of the problem in order to minimize energy consumption of drones while not exceeding the drone range. Fourth, we study an extension of the Drone Delivery Problem, called the Stochastic Drone Delivery Problem, where uncertainty of wind speed and its impact on the drone speed are considered.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2019-06-14T08:13:11Z No. of bitstreams: 1 10253177.pdf: 3280740 bytes, checksum: 915744abe3de381f6cf7dc7b28dad9b6 (MD5)en
dc.description.provenanceMade available in DSpace on 2019-06-14T08:13:11Z (GMT). No. of bitstreams: 1 10253177.pdf: 3280740 bytes, checksum: 915744abe3de381f6cf7dc7b28dad9b6 (MD5) Previous issue date: 2019-06en
dc.description.statementofresponsibilityby Okan Dükkancıen_US
dc.format.extentxiv, 208 pages : maps, charts, tables ; 30 cm.en_US
dc.identifier.itemidB125728
dc.identifier.urihttp://hdl.handle.net/11693/52037
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLocationen_US
dc.subjectRoutingen_US
dc.subjectFreight transportationen_US
dc.subjectEnvironmental impactsen_US
dc.subjectEnergy (fuel) consumptionen_US
dc.titleGreen location and routing problems with conventional vehicles and dronesen_US
dc.title.alternativeGeleneksel ve insansız hava araçlarının kullanıldığı yeşil yer seçimi ve rotalama problemlerien_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelDoctoral
thesis.degree.namePh.D. (Doctor of Philosophy)

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