Pisinger, David

Plum, Christian E.M.

Reinhardt, Line Blander

Sigurd, Mikkel M.

Vial, Guillaume T.P.

In this paper speed optimization of an existing liner shipping network is solved by adjusting the port berth times. The objective is to minimize fuel consumption while retaining the customer transit times including the transhipment times. To avoid too many changes to the time table, changes of port berth times are only accepted if they lead to savings above a threshold value. Since the fuel consumption of a vessel is a non-linear convex function of the speed, it is approximated by a piecewise linear function. The developed model is solved using exact methods in less than two minutes for large instances. Computational experiments on real-size liner shipping networks are presented showing that fuels savings in the magnitude 2–10% can be obtained. The work has been carried out in collaboration with Maersk Line and the tests instances are confirmed to be representative of real-life networks

Online Research Database In Technology

The liner shipping berth scheduling problem with transit times - DTU Orbit (08/11/2017) The liner shipping berth scheduling problem with transit timesIn this paper speed optimization of an existing liner shipping network is solved by adjusting the port berth times. Theobjective is to minimize fuel consumption while retaining the customer transit times including the transhipment times. Toavoid too many changes to the time table, changes of port berth times are only accepted if they lead to savings above athreshold value. Since the fuel consumption of a vessel is a non-linear convex function of the speed, it is approximated bya piecewise linear function. The developed model is solved using exact methods in less than two minutes for largeinstances. Computational experiments on real-size liner shipping networks are presented showing that fuels savings in themagnitude 2–10% can be obtained. The work has been carried out in collaboration with Maersk Line and the testsinstances are confirmed to be representative of real-life networks. General informationState: PublishedOrganisations: Department of Management Engineering, Management Science, Maersk Line, Technical University ofDenmarkAuthors: Reinhardt, L. B. (Intern), Plum, C. E. (Ekstern), Pisinger, D. (Intern), Sigurd, M. M. (Ekstern), Vial, G. T. (Ekstern)Pages: 116–128Publication date: 2016Main Research Area: Technical/natural sciences Publication informationJournal: Transportation Research. Part E: Logistics and Transportation ReviewVolume: 86ISSN (Print): 1366-5545Ratings: BFI (2017): BFI-level 2 Web of Science (2017): Indexed yes BFI (2016): BFI-level 2 Scopus rating (2016): CiteScore 3.68 Web of Science (2016): Indexed yes BFI (2015): BFI-level 2 Scopus rating (2015): CiteScore 3.51 Web of Science (2015): Indexed yes BFI (2014): BFI-level 2 Scopus rating (2014): CiteScore 3.59 Web of Science (2014): Indexed yes BFI (2013): BFI-level 2 Scopus rating (2013): CiteScore 3.64 ISI indexed (2013): ISI indexed yes Web of Science (2013): Indexed yes BFI (2012): BFI-level 2 Scopus rating (2012): CiteScore 2.91 ISI indexed (2012): ISI indexed yes BFI (2011): BFI-level 2 Scopus rating (2011): CiteScore 2.77 ISI indexed (2011): ISI indexed yes Web of Science (2011): Indexed yes BFI (2010): BFI-level 2 Web of Science (2010): Indexed yes BFI (2009): BFI-level 2 Web of Science (2009): Indexed yes BFI (2008): BFI-level 2 Original language: EnglishSpeed optimization, Linear approximation, Cubic function, Liner shipping, Transit timesDOIs: 10.1016/j.tre.2015.12.006 Source: PublicationPreSubmissionSource-ID: 120480905Publication: Research - peer-review › Journal article – Annual report year: 2016 

The liner shipping berth scheduling problem with transit times

Line Blander Reinhardt

Christian E.M. Plum

David Pisinger

Mikkel M. Sigurd

Guillaume T.P. Vial

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Transportation Research Part E Logistics and Transportation Review

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The liner shipping berth scheduling problem with transit times

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