Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/85956
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dc.contributor.authorSamrout, Marwa-
dc.contributor.authorYassine, Adnan-
dc.contributor.authorSbihi, Abdelkader-
dc.date.accessioned2022-06-09T08:52:33Z-
dc.date.available2022-06-09T08:52:33Z-
dc.date.issued2022-
dc.date.submitted2022-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/87909-
dc.identifier.urihttp://dx.doi.org/10.25673/85956-
dc.description.abstractSeveral research works have focused on Berth Allocation Problem (BAP) with the consideration of transshipment of ship-to-ship. However, to the most of our knowledge, there are no studies, that decide whether direct transshipment service should be made according to vessel’s berthing time in the continuous (BAP) variant where vessels can berth anywhere alongside quays. To fill this gap, this study introduces the continuous (BAP) and formulates a novel mathematical model, which deals with the question of direct transshipment. The aim is to minimize the dwell times and the penalty accrued by tardy vessels [1]. Firstly, a mixed integer linear program is implemented to schedule incoming vessels to berthing positions and decide the transshipment method needed for each couple of vessels. Secondly, a genetic algorithm is proposed to solve large-scale problem instances. Numerical experiments were conducted, and the results are analysed and compared on a set of randomly generated instances. The designed solution approach provides near optimal solutions for comparable real size problems in a reasonable amount of time.eng
dc.language.isoeng-
dc.relation.ispartof10.25673/85925-
dc.relation.urihttps://opendata.uni-halle.de//handle/1981185920/87878-
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.subjectContainer terminaleng
dc.subjectBerth allocation planningeng
dc.subjectTransshipmenteng
dc.subjectShipping logisticseng
dc.subject.ddc620-
dc.titleOptimization model for berth and transshipment schedulingeng
dc.typeConference Object-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-879094-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn1804074799-
local.bibliographicCitation.year2022-
cbs.sru.importDate2022-05-23T05:50:11Z-
local.bibliographicCitationEnthalten in 15th International Doctoral Students Workshop on Logistics, June 23, 2022 Magdeburg - Magdeburg : Universitätsbibliothek, 2022-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Maschinenbau (OA)

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