Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310190 
Year of Publication: 
2021
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 5 [Issue:] 4 [Article No.:] 67 [Year:] 2021 [Pages:] 1-24
Publisher: 
MDPI, Basel
Abstract: 
Background: The slot planning problem is a container allocation problem within a certain location on a vessel. It is considered a sub-problem of a successful decomposition approach for the container vessel stowage planning problem. This decision has a direct effect on container handling operations and the vessel berthing time, which are key indicators for the container terminal efficiency. Methods: In this paper, an approach combining a rule-based fuzzy logic algorithm with a rule-based search algorithm is developed to solve the slot planning problem. The rules in the proposed fuzzy logic algorithm aim at improving the objective function and minimizing/eliminating constraint violation. Results: The computational results of 236 slot planning instances illustrate the efficiency and effectiveness of the proposed algorithm. Conclusions: The results show that the proposed approach is fast and can produce optimal or near-optimal solutions for a comprehensive industrial set of instances.
Subjects: 
fuzzy logic
slot planning
stowage planning
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
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