A Node Flow Model for the Inflexible Visitation Liner Shipping Fleet Repositioning Problem with Cargo Flows
- Kevin Tierney,
Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 18-34 (17 pages)Journal (Volume, Issue Number)
Lecture Notes in Computer Science (Volume 8197)Publication milestones
- Published - 2013
Publication status
Published - 2013
ISSN
0302-9743Publication IDs
- Scopus: 84886391626
Abstract
We introduce a novel, node flow based mathematical model
for the fixed-time version of a central problem in the liner shipping industry called the Liner Shipping Fleet Repositioning Problem (LSFRP). We call this version of the problem the Inflexible Visitation LSFRP (IVLSFRP).
During repositioning, vessels are moved between routes in a liner
shipping network. Shipping lines wish to reposition vessels as cheaply as possible without disrupting the cargo flows of the network. The LSFRP is characterized by chains of interacting activities with a multi-commodity flow over paths defined by the activities chosen. We introduce two versions of a node flow based model that exploit the fixed activity times
of the IVLSFRP’s graph to handle cargo demands on the nodes of the graph, instead of the arcs, significantly reducing the number of variables.
Using this model in CPLEX, we are able to solve 12 previously unsolved IVLSFRP instances to optimality. Additionally, we improve the solution time on every instance in the IVLSFRP dataset, sometimes by several orders of magnitude.
for the fixed-time version of a central problem in the liner shipping industry called the Liner Shipping Fleet Repositioning Problem (LSFRP). We call this version of the problem the Inflexible Visitation LSFRP (IVLSFRP).
During repositioning, vessels are moved between routes in a liner
shipping network. Shipping lines wish to reposition vessels as cheaply as possible without disrupting the cargo flows of the network. The LSFRP is characterized by chains of interacting activities with a multi-commodity flow over paths defined by the activities chosen. We introduce two versions of a node flow based model that exploit the fixed activity times
of the IVLSFRP’s graph to handle cargo demands on the nodes of the graph, instead of the arcs, significantly reducing the number of variables.
Using this model in CPLEX, we are able to solve 12 previously unsolved IVLSFRP instances to optimality. Additionally, we improve the solution time on every instance in the IVLSFRP dataset, sometimes by several orders of magnitude.
Publication metrics
PlumX, opens in new tab
Citations
1
Access to documents
Related Event
Title
4th International Conference on Computational Logistics
Event type
ConferenceDate
25/09/2013 - 27/09/2013Location
CopenhagenDenmark
