Matheuristics for Slot Planning of Container Vessel Bays
- Aleksandra Korach,
- Berit Dangaard Brouer,
- Optivation
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages 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
0377-2217Publication 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.
Publication metrics
PlumX, opens in new tab
Citations
30
Captures
38
Access to documents
Submitted manuscript, 648.6 KB
