| Autor: |
Dalia Rashed, Amr Eltawil, Mohamed Gheith |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Logistics, Vol 5, Iss 4, p 67 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2305-6290 |
| DOI: |
10.3390/logistics5040067 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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