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Matheuristics for Slot Planning of Container Vessel Bays

  • Optivation
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 873-885 (13 pages)

Journal (Volume, Issue Number)

European Journal of Operational Research (Volume 282, Issue 3)

Publication milestones

  • Published - 01/05/2020

Publication status

Published - 01/05/2020

ISSN

0377-2217

Publication IDs

  • Scopus: 85076522181

Abstract

Stowage planning is an NP-hard combinatorial problem concerned with loading a container vessel in a given port, such that a number of constraints regarding the physical layout of the vessel and its seaworthiness are satisfied, and a number of objectives with regard to the quality of the placement are optimized. State-of-the-art methods decompose the problem into phases, the latter of which, known as slot planning, involves loading the containers into slots of a bay. This article presents an efficient matheuristic for the slot planning problem. Matheuristics are algorithms using mathematical programming techniques within a heuristic framework. The method finds solutions for 96% of 236 instances based on real stowage plans, 90% of them optimally, with an average optimality gap of 4.34% given a limit of one second per instance. This is an improvement over the results provided by previous works.

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Citations
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Captures
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