Hub location proplems under polyhedral demand uncertainty

buir.advisorPaternotte, Hande Yaman
dc.contributor.authorMeraklı, Merve
dc.date.accessioned2016-04-25T07:49:14Z
dc.date.available2016-04-25T07:49:14Z
dc.date.copyright2015-07
dc.date.issued2015-07
dc.date.submitted30-07-2015
dc.departmentDepartment of Industrial Engineeringen_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (leaves 69-74).en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2015.en_US
dc.description.abstractHubs are points of consolidation and transshipment in many-to-many distribution systems that bene t from economies of scale. In hub location problems, the aim is to locate hub facilities such that each pairwise demand is satis ed and the total cost is minimized. The problem usually arises in the strategic planning phase prior to observing actual demand values. Hence incorporating robustness into hub location decisions under data uncertainty is crucial for achieving a reliable hub network design. In this thesis, we study hub location problems under polyhedral demand uncertainty. We consider uncapacitated multiple allocation p-hub median problem under hose and hybrid demand uncertainty and capacitated multiple allocation hub location problem under hose demand uncertainty. We propose mixed integer linear programming formulations and devise several exact solution algorithms based on Benders decomposition in order to solve large-scale problem instances. Computational experiments are performed on instances of three benchmark data sets from the literature.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Merve Meraklıen_US
dc.embargo.release2017-07-26
dc.format.extentix, 74 leaves : charts.en_US
dc.identifier.itemidB150939
dc.identifier.urihttp://hdl.handle.net/11693/28976
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHub locationen_US
dc.subjectMultiple allocationen_US
dc.subjectDemand uncertaintyen_US
dc.subjectRobustnessen_US
dc.subjectBenders decompositionen_US
dc.titleHub location proplems under polyhedral demand uncertaintyen_US
dc.title.alternativeÇokyüzlü talep belirsizliği altında Adü yer seçimi problemlerien_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
thesis_merve_merakli.pdf
Size:
1.74 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: