Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2504
DC FieldValueLanguage
dc.contributor.authorPache, Hannah-
dc.contributor.authorKastner, Marvin-
dc.contributor.authorJahn, Carlos-
dc.date.accessioned2019-11-15T07:51:52Z-
dc.date.available2019-11-15T07:51:52Z-
dc.date.issued2019-09-26-
dc.identifier.citationHamburg International Conference of Logistics (HICL) 28: 369-394 (2019)de_DE
dc.identifier.isbn978-3-750249-49-3de_DE
dc.identifier.urihttp://hdl.handle.net/11420/3788-
dc.description.abstractPurpose: This paper discusses the current state of routing and scheduling in tramp shipping, an important planning problem on the operational level in maritime logistics. The purpose is to report and compare the existing methods and to investigate possible future additions and improvements. Furthermore, an outlook on potential applications of machine learning for this optimization problem is given. Methodology: In this paper an extensive literature review of reports and journal papers on cargo routing in tramp shipping of the last seven years is conducted. The wide range of findings are categorized by the different considered characteristics. The results are analyzed and trends are pointed out. Findings: Optimization problems in tramp shipping differ in their main properties from liner shipping or classical vehicle routing problems. Thus, different approaches and implementations are required when developing or adapting existing optimization algorithms. The real-world problem is often limited in the optimization, so found solutions are improvements, but cannot fully reflect reality yet. Originality: This paper provides a comprehensive overview of tramp ship routing and scheduling. Although optimization of routing and scheduling in liner shipping is fairly well researched, the publications on tramp shipping are sparse in comparison. This leaves room for future research, as the findings for liner shipping and vehicle routing are not directly applicable to tramp shipping.en
dc.language.isoende_DE
dc.publisherepubli GmbHde_DE
dc.rightsCC BY-SA 4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectTramp shippingde_DE
dc.subjectRouting and schedulingde_DE
dc.subjectMaritime transportationde_DE
dc.subjectCargo routingde_DE
dc.subject.ddc004: Informatikde_DE
dc.subject.ddc330: Wirtschaftde_DE
dc.subject.ddc380: Handel, Kommunikation, Verkehrde_DE
dc.titleCurrent state and trends in tramp ship routing and schedulingde_DE
dc.typeinProceedingsde_DE
dc.identifier.urnurn:nbn:de:gbv:830-882.054938-
dc.identifier.doi10.15480/882.2504-
dc.type.dinicontributionToPeriodical-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.054938-
tuhh.oai.showtruede_DE
tuhh.abstract.englishPurpose: This paper discusses the current state of routing and scheduling in tramp shipping, an important planning problem on the operational level in maritime logistics. The purpose is to report and compare the existing methods and to investigate possible future additions and improvements. Furthermore, an outlook on potential applications of machine learning for this optimization problem is given. Methodology: In this paper an extensive literature review of reports and journal papers on cargo routing in tramp shipping of the last seven years is conducted. The wide range of findings are categorized by the different considered characteristics. The results are analyzed and trends are pointed out. Findings: Optimization problems in tramp shipping differ in their main properties from liner shipping or classical vehicle routing problems. Thus, different approaches and implementations are required when developing or adapting existing optimization algorithms. The real-world problem is often limited in the optimization, so found solutions are improvements, but cannot fully reflect reality yet. Originality: This paper provides a comprehensive overview of tramp ship routing and scheduling. Although optimization of routing and scheduling in liner shipping is fairly well researched, the publications on tramp shipping are sparse in comparison. This leaves room for future research, as the findings for liner shipping and vehicle routing are not directly applicable to tramp shipping.de_DE
tuhh.publisher.urlhttps://www.epubli.de/shop/buch/Digital-Transformation-in-Maritime-and-City-Logistics-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783750249493/92097-
tuhh.publication.instituteMaritime Logistik W-12de_DE
tuhh.identifier.doi10.15480/882.2504-
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
dc.type.drivercontributionToPeriodical-
dc.type.casraiConference Paper-
tuhh.container.startpage369de_DE
tuhh.container.endpage394de_DE
dc.relation.conferenceHamburg International Conference of Logistics (HICL) 2019de_DE
dc.relation.projectI³-Lab - Business Analytics – Optimierungspotenziale und strategische Risiken für maritime logistische Systeme-
dc.rights.nationallicensefalsede_DE
tuhh.relation.ispartofseriesProceedings of the Hamburg International Conference of Logistics (HICL)de_DE
tuhh.relation.ispartofseriesnumber28de_DE
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.creatorGNDPache, Hannah-
item.creatorGNDKastner, Marvin-
item.creatorGNDJahn, Carlos-
item.seriesrefProceedings of the Hamburg International Conference of Logistics (HICL);28-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.openairetypeinProceedings-
item.languageiso639-1en-
item.creatorOrcidPache, Hannah-
item.creatorOrcidKastner, Marvin-
item.creatorOrcidJahn, Carlos-
item.tuhhseriesidProceedings of the Hamburg International Conference of Logistics (HICL)-
item.grantfulltextopen-
crisitem.author.deptMaritime Logistik W-12-
crisitem.author.deptMaritime Logistik W-12-
crisitem.author.deptMaritime Logistik W-12-
crisitem.author.orcid0000-0001-8023-5755-
crisitem.author.orcid0000-0001-8289-2943-
crisitem.author.orcid0000-0002-5409-0748-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie-
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