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

Author

Listed:
  • 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
    Production Engineering Department, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt)

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.

Suggested Citation

  • Dalia Rashed & Amr Eltawil & Mohamed Gheith, 2021. "A Fuzzy Logic-Based Algorithm to Solve the Slot Planning Problem in Container Vessels," Logistics, MDPI, vol. 5(4), pages 1-24, September.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:4:p:67-:d:645132
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    References listed on IDEAS

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