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dc.contributor.authorBouzekri, Hamza
dc.contributor.authorAlpan, Gülgün
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorGiard, Vincent
dc.date.accessioned2021-10-15T14:35:33Z
dc.date.available2021-10-15T14:35:33Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22028
dc.language.isoenen
dc.subjectBerth Allocation Problemen
dc.subjectConveyor systemen
dc.subjectBulk portsen
dc.subject.ddc003en
dc.titleA dynamic hybrid Berth Allocation Problem with routing constraints in bulk portsen
dc.typeCommunication / Conférence
dc.description.abstractenThe Berth Allocation Problem (BAP) is considered as one of the most important operational problems in the seaside area of ports. It refers to the problem of assigning a set of vessels to a given berth layout within a given time horizon. In this paper, we study the dynamic and hybrid case of the BAP in the context of bulk ports with multiple quays, different water depths, and heterogeneous loading equipment, considering routing constraints (routes between storage hangars and berths). This study is motivated by the operations of OCP Group, a world leader in the phosphate industry, at the bulk port of Jorf Lasfar in Morocco, recognized as the largest ore port in Africa. The objective of the problem is to enhance the coordination between the berthing and yard activities, besides maximizing the difference between the despatch money and the demurrage charges of all berthed vessels. We propose an integer linear programming model formulated with predicates, which ensures maximum flexibility in the implementation of the model. Finally, the proposed model is tested and validated through numerical experiments based on instances inspired by real bulk port data. The results show that the model can be used to solve to optimality instances with up to 40 vessels within reasonable computational time.en
dc.relation.ispartoftitleAdvances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems, Proceedings, Part Ien
dc.relation.ispartofeditorLalic, Bojan
dc.relation.ispartofeditorMajstorovic, Vidosav
dc.relation.ispartofeditorMarjanovic, Ugljesa
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofdate2020
dc.relation.ispartofurl10.1007/978-3-030-57993-7en
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-3-030-57992-0en
dc.relation.conftitleInternational Conference, APMS 2020en
dc.relation.confdate2020-08
dc.relation.confcityNovi Saden
dc.relation.confcountrySerbiaen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-030-57993-7_29en
dc.description.ssrncandidatenon
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2021-10-15T14:30:06Z
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