Intelligent container repositioning with depot pricing policies

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dc.authoridOner, Erdinc/0000-0002-0503-7588
dc.authoridELIIYI UGUR/0000-0002-5584-891X
dc.authorwosidOner, Erdinc/M-4420-2017
dc.contributor.authorGuven, Ceyhun
dc.contributor.authorÖner, Erdinç
dc.contributor.authorEliiyi, Uğur
dc.date.accessioned2023-03-22T19:47:17Z
dc.date.available2023-03-22T19:47:17Z
dc.date.issued2022
dc.departmentBelirleneceken_US
dc.description4th International Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 19-21, 2022 -- Bornova, TURKEYen_US
dc.description.abstractEmpty container management has always been a crucial issue in the logistics sector. Specifically, the repositioning of empty containers plays an important role in the industry of maritime shipping. Not only has an economic impact on the stakeholders affiliated with the container logistics chains but also has an effect on the society in terms of environment and sustainability as the reduction in the movement of empty containers will also reduce fuel consumption. The main objective of this paper is to minimize the total cost. This total cost includes the cost required for transportation of the empty containers to their depots and the storage cost of these containers in the assigned depots. The types of costs involved in empty container repositioning are defined via the review of the related literature and industrial practices. In this study, a mixed-integer linear programming model is developed that minimizes the total cost require in the repositioning of empty containers. The proposed model determines the storage depot of each empty container considering the depot pricing policies and distances between the port terminals and container depots. Computational results indicate that the proposed model can identify the best alternatives for empty container storage with minimum total cost.en_US
dc.identifier.doi10.1007/978-3-031-09176-6_41
dc.identifier.endpage363en_US
dc.identifier.isbn978-3-031-09176-6
dc.identifier.isbn978-3-031-09175-9
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-85135098843en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage355en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-09176-6_41
dc.identifier.urihttps://hdl.handle.net/20.500.14034/585
dc.identifier.volume505en_US
dc.identifier.wosWOS:000889132600041en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.journalIntelligent And Fuzzy Systems: Digital Acceleration And The New Normal, Infus 2022, Vol 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEmpty container repositioningen_US
dc.subjectMixed integer programmingen_US
dc.subjectOR in maritime industryen_US
dc.subjectEmptyen_US
dc.titleIntelligent container repositioning with depot pricing policiesen_US
dc.typeConference Objecten_US

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