A Fuzzy Logic-Based Algorithm to Solve the Slot Planning Problem in Container Vessels

Dalia Rashed, Amr Eltawil and Mohamed Gheith
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Dalia Rashed: Department of Industrial and Manufacturing Engineering, Egypt-Japan University of Science and Technology (E-JUST), Alexandria 21934, Egypt
Amr Eltawil: Department of Industrial and Manufacturing Engineering, Egypt-Japan University of Science and Technology (E-JUST), Alexandria 21934, Egypt
Mohamed Gheith: Department of Industrial and Manufacturing Engineering, Egypt-Japan University of Science and Technology (E-JUST), Alexandria 21934, Egypt

Logistics, 2021, vol. 5, issue 4, 1-24

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.

Keywords: fuzzy logic; stowage planning; slot planning (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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