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A large neighbourhood search heuristic for ship routing and scheduling with split loads

Sammendrag

The purpose of this paper is to present and solve a new, important planning problem faced by many shipping companies dealing with the transport of bulk products. These shipping companies are committed to carrying some contract cargoes and will try to derive additional revenue from optional spot cargoes. In most of the literature on ship routing and scheduling problems a cargo cannot be transported by more than one ship. By introducing split loads this restriction is removed and each cargo can be transported by several ships. In this paper we propose a large neighbourhood search heuristic for the ship routing and scheduling problem with split loads. Computational results show that the heuristic provides good solutions to real-life instances within reasonable time. It is also shown that introducing split loads can yield significant improvements.

Kategori

Vitenskapelig artikkel

Språk

Engelsk

Forfatter(e)

  • Jarl Eirik Korsvik
  • Kjetil Fagerholt
  • Gilbert Laporte

Institusjon(er)

  • Norges teknisk-naturvitenskapelige universitet
  • SINTEF Ocean / Energi og transport
  • Ecole des hautes Etudes Commerciales de Montréal

År

2011

Publisert i

Computers & Operations Research

ISSN

0305-0548

Forlag

Elsevier

Årgang

38

Hefte nr.

2

Side(r)

474 - 483

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