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.
Highlights
Given that some swaps may have been performed within the solution construction, Group needed to ensure that the attained solution does not violate
The paper focuses on the second phase of the decomposition approach to solve the stowage planning problem which is concerned with the slot planning problem
The approach is based on a rule-based fuzzy logic system was coupled with a rule-based search algorithm
Summary
A standard container is a metallic box that can withstand both substantial external forces and high vertical compression stress. It allows the formation of high stacks of containers [2]. 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
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