Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44458
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dc.contributor.authorOngcunaruk, Wisute-
dc.contributor.authorOngkunaruk, Pornthipa-
dc.contributor.authorJANSSENS, Gerrit K.-
dc.contributor.authorCARIS, An-
dc.date.accessioned2024-10-11T14:06:56Z-
dc.date.available2024-10-11T14:06:56Z-
dc.date.issued2022-
dc.date.submitted2024-10-03T15:24:15Z-
dc.identifier.citationPraça, Isabel; Maia, Eva; Geril, Philippe (Ed.). Modelling and simulation 2022 - The European simulation and modelling conference 2022, Eurosis-ETI, p. 195 -200-
dc.identifier.isbn9789492859242-
dc.identifier.urihttp://hdl.handle.net/1942/44458-
dc.description.abstractPre- and end-haulage of intermodal container terminals involves the pickup or delivery of containers at customer locations. The drayage of containers in the service area of an intermodal terminal has been modelled as a full truckload pickup and delivery problem with time windows (FTPDPTW). The research investigates two concepts, borrowed from geographical economics, in the context of the FTPDPTW: concentration and specialisation. The concepts are translated into characteristics of time windows: more concentrated in the morning or in the afternoon; more longer time windows than shorter ones in either morning or afternoon. Experiments are run for a number of instances to investigate the effect of both concepts. It is shown that concentration leads to a higher number of routes and a higher final cost.-
dc.language.isoen-
dc.publisherEurosis-ETI-
dc.subject.otherDrayage of containers-
dc.subject.otherVehicle routing-
dc.subject.otherPickup and Delivery Problem-
dc.subject.otherDeterministic annealing-
dc.subject.otherTime windows-
dc.titleConcentration and Specialisation in a Full Truck Vehicle Routing Heuristic Algorithm-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsPraça, Isabel-
local.bibliographicCitation.authorsMaia, Eva-
local.bibliographicCitation.authorsGeril, Philippe-
local.bibliographicCitation.conferencedate2022, October 26-28-
local.bibliographicCitation.conferencenameThe 2022 European Simulation and Modelling Conference-
local.bibliographicCitation.conferenceplacePorto, Portugal-
dc.identifier.epage200-
dc.identifier.spage195-
local.format.pages6-
local.bibliographicCitation.jcatC1-
local.publisher.placeOstend, Belgium-
dc.relation.referencesAmbra, T., Caris, A., Macharis, C., 2019. Should I stay or should I go? Assessing intermodal and synchromodal resilience from a decentralized perspective. Sustainability, 11(6), 1765. Brakman S., Garretsen H., van Marrewijk C., 2001. An introduction to geographical economics: trade, location and growth, Cambridge University Press Bräysy, O., Dullaert, W., Hasle, G., Mester, D., Gendreau, M., 2008. An effective multi-restart deterministic annealing metaheuristic for the fleet size and mix vehicle routing problem with time windows. Transportation Science, 42(3) 371–386. Caris, A., Janssens, G.K., 2009, A local search heuristic for the pre- and end haulage of intermodal container terminals. Computers and Operations Research, 36(10), 2763-2772. Caris, A., Janssens, G.K., 2010. A deterministic annealing algorithm for the pre- and end-haulage of intermodal container terminals. The International Journal of Computer Aided Engineering and Technology, 2(4), 340-355. Caris, A., Macharis, C., Janssens, G.K., 2013. Decision support in intermodal transport: a new research agenda. Computers in Industry, 64, 105-112. Dueck, G., Scheuer, T.,1990. Threshold Accepting: A general purpose optimization algorithm appearing superior to Simulated Annealing. Journal of Computational Physics, 90, 161-175. Escudero, A., Munuzuri J., Guadix J., Arango C., 2013. Dynamic approach to solve the daily drayage problem with transit time uncertainty. Computers in Industry, 64(2), 165-175. Escudero-Santana A., Cuberos-Gallardo M., Munuzuri J., Cortes P., 2019, Using simulated annealing to solve the daily drayage problems with hard time windows. In: Mula J., Barbastefano R., Diaz-Madronero M., Poler R. (eds.), New Global perspectives of Indusrial Engineering and Management, Lecture Notes in Management and Industrial Engineering, Springer, pp. 83-90. Gronalt, M., Hartl, R.F., Reimann, M., 2003. New savings-based algorithms for time constrained pickup and delivery of full truckloads. European Journal of Operational Research, 151, 520–535. Kaku I., Xiao Y., Xia G., 2003, The deterministic annealing algorithms for vehicle routing problems. International Journal of Smart Engineering System Design, 5(4), 327-339. Macharis C, Bontekoning YM., 2004, Opportunities for OR in intermodal freight transport research: a review. European Journal of Operational Research, 153, 400–416. Notteboom, T., Rodrigue, J.P., 2009. The future of containerization: perspectives from maritime and inland freight distribution. GeoJournal, 74(1), 7-22. Parragh, S.N., Doerner, K.F., Hartl, R.F., 2008. A survey on pickup and delivery problems, part I: transportation between customers and depot. Journal für Betriebswirtschaft, 58, 21 51. Reinhardt, L.B., Pisinger, D., Spoorendonk, S., Sigurd, M.M., 2016. Optimization of the drayage problem using exact methods. INFOR (Information Systems and Operational Research), 54(1), 33-51. Savelsbergh M, Sol M., 1995. The general pickup and delivery problem. Transportation Science, 29(1), 17–29. Tarantilis, C.D., Kiranoudis, C.T., Vassiliadis, V.S., 2004. A threshold accepting metaheuristic for the heterogeneous fixed fleet vehicle routing problem. European Journal of Operational Research, 152, 148–158. Xue, N., Bai, R., Qu, R., Aickelin, U.,2020, A hybrid pricing and cutting approach for the multi-shift truckload vehicle routing problem. European Journal of Operational Research, 292(2), 500-514.-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.isi001235849500028-
local.provider.typePdf-
local.bibliographicCitation.btitleModelling and simulation 2022 - The European simulation and modelling conference 2022-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.contributorOngcunaruk, Wisute-
item.contributorOngkunaruk, Pornthipa-
item.contributorJANSSENS, Gerrit K.-
item.contributorCARIS, An-
item.fullcitationOngcunaruk, Wisute; Ongkunaruk, Pornthipa; JANSSENS, Gerrit K. & CARIS, An (2022) Concentration and Specialisation in a Full Truck Vehicle Routing Heuristic Algorithm. In: Praça, Isabel; Maia, Eva; Geril, Philippe (Ed.). Modelling and simulation 2022 - The European simulation and modelling conference 2022, Eurosis-ETI, p. 195 -200.-
item.accessRightsRestricted Access-
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