Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22033
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHEGGEN, Hilde-
dc.contributor.authorBRAEKERS, Kris-
dc.contributor.authorCARIS, An-
dc.date.accessioned2016-09-15T12:56:15Z-
dc.date.available2016-09-15T12:56:15Z-
dc.date.issued2016-
dc.identifier.citationPaias, Ana; Ruthmair, Mario; Voss, Stefan (Ed.). Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings, Springer International Publishing,p. 193-208-
dc.identifier.isbn9783319448954-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/22033-
dc.description.abstractTrain load planners are confronted with complex practical considerations during the booking and planning process. In order to optimally utilize the available loading space, train capacity is monitored in terms of available length and weight while accounting for the urgency with which load units must be sent. Furthermore, the execution of the load plan by the terminal operator must be performed efficiently to minimize total handling costs. The contribution of this paper is threefold. First, current literature on train load planning is reviewed based on three main groups of factors influencing the load plan composition. Second, a static model is developed to introduce a number of practical constraints from the viewpoint of the network operator. Finally, the model is adapted to reflect the planning environment of a real-life case study.-
dc.description.sponsorshipThis work is supported by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office (research project COMEX, Combinatorial Optimization: Metaheuristics & Exact Methods).-
dc.language.isoen-
dc.publisherSpringer International Publishing-
dc.relation.ispartofseriesLecture Notes in Computer Science-
dc.rights© Springer International Publishing Switzerland 2016-
dc.subject.othertrain load planning; intermodal transportation; container terminals; rail transportation-
dc.titleOptimizing Train Load Planning: Review and Decision Support for Train Planners-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsPaias, Ana-
local.bibliographicCitation.authorsRuthmair, Mario-
local.bibliographicCitation.authorsVoss, Stefan-
local.bibliographicCitation.conferencedate7-9/09/2016-
local.bibliographicCitation.conferencename7th International Conference on Computational Logistics-
local.bibliographicCitation.conferenceplaceLisbon-
dc.identifier.epage208-
dc.identifier.spage193-
local.bibliographicCitation.jcatC1-
local.publisher.placeZwitserland-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr9855-
local.identifier.vabbc:vabb:414970-
dc.identifier.doi10.1007/978-3-319-44896-1_13-
local.bibliographicCitation.btitleComputational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings-
item.accessRightsRestricted Access-
item.validationvabb 2018-
item.fulltextWith Fulltext-
item.fullcitationHEGGEN, Hilde; BRAEKERS, Kris & CARIS, An (2016) Optimizing Train Load Planning: Review and Decision Support for Train Planners. In: Paias, Ana; Ruthmair, Mario; Voss, Stefan (Ed.). Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings, Springer International Publishing,p. 193-208.-
item.contributorHEGGEN, Hilde-
item.contributorBRAEKERS, Kris-
item.contributorCARIS, An-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
10.1007@978-3-319-44896-113.pdf
  Restricted Access
Published version639.82 kBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

4
checked on Sep 2, 2020

Page view(s)

98
checked on Sep 7, 2022

Download(s)

106
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.