Shunting Minimal Rail Car Allocation

dc.contributor.authorLübbecke, Marco E.
dc.contributor.authorZimmermann, Uwe T.
dc.date.accessioned2021-12-17T10:06:12Z
dc.date.available2021-12-17T10:06:12Z
dc.date.issued2004
dc.description.abstractWe consider the rail car management at industrial in-plant railroads. Demands for loaded or empty cars are characterized by a track, a car type, and the desired quantity. If available, we assign cars from the stock, possibly substituting types, otherwise we rent additional cars. Transportation requests are fulfilled as a short sequence of pieces of work, the so-called blocks. Their design at a minimal total transportation cost is the planning task considered in this paper. It decomposes into the rough distribution of cars among regions, and the NP-hard shunting minimal allocation of cars per region. We present mixed integer programming formulations for the two problem levels. Our computational experience from practical data encourages an installation in practice.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15543
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14316
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.othermixed integer programmingen
dc.subject.othershunting minimizationen
dc.subject.otherdecompositionen
dc.subject.otherrail transporten
dc.subject.otherrail carsen
dc.titleShunting Minimal Rail Car Allocationen
dc.typeResearch Paperen
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
tub.series.issuenumber2004, 09en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
tub.subject.msc200090C11 Mixed integer programmingen
tub.subject.msc200090C27 Combinatorial optimizationen
tub.subject.msc200090B06 Transportation, logisticsen

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