The Standard Capacity Model: Towards a polyhedron representation of container vessel capacity

Rune Møller Jensen, Mai Lise Ajspur

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Abstrakt

Container liner shipping is about matching spare capacity to cargo in need of transport. This can be realized using cargo flow networks, where edges are associated with vessel capacity. It is hard, though, to calculate free capacity of container vessels unless full-blown non-linear stowage optimization models are applied. This may cause such flow network optimization to be intractable. To address this challenge, we introduce the Standard Capacity Model (SCM). SCMs are succinct linear capacity models derived from vessel data that can be integrated in higher order optimization models as mentioned above. In this paper, we introduce the hydrostatic core of the SCM. Our results show that it can predict key parameters like draft, trim, and stress forces accurately and thus can model capacity reductions due to these factors.
OriginalsprogEngelsk
TitelComputational Logistics : 9th International conference, ICCL 2018
RedaktørerRaffael Cerulli, Andrea Raiconi, Stefan Voss
ForlagSpringer
Publikationsdato2018
Sider175-190
ISBN (Trykt)9783030008970
ISBN (Elektronisk)9783030008987
DOI
StatusUdgivet - 2018
NavnLecture Notes in Computer Science
Vol/bind11184
ISSN0302-9743

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