A fuzzy logic model for the container stacking problem at container terminals

Jana Ries, Rosa G. González-Ramírez, Pablo Miranda

Resultado de la investigación: Article

14 Citas (Scopus)

Resumen

We address the problem of storage space allocation in a sea port terminal. The problem consists of assigning a block space in the yard of a container terminal to every incoming container while ensuring operational efficiency. The proposed framework uses a 2-stage framework in combination with a fuzzy logic rule-based strategy. The concept is motivated by the problem faced by container terminals in Chile and the aim is to provide real-time decision support to deal with a high degree of uncertainty in the arrival of containers at the yard. In addition, the framework provides a more flexible design to include a set of different criteria as well as different infrastructures and layouts of container ports. Numerical results are presented, comparing the results of the fuzzy framework with respect to algorithms proposed in the literature, considering different scenarios.

Idioma originalEnglish
Páginas (desde-hasta)93-111
Número de páginas19
PublicaciónLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8760
EstadoPublished - 1 ene 2014

Huella dactilar

Container Terminal
Stacking
Container
Fuzzy Logic
Fuzzy logic
Containers
Port terminals
Decision Support
Model
Layout
Infrastructure
Real-time
Uncertainty
Numerical Results
Scenarios
Framework

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Citar esto

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AB - We address the problem of storage space allocation in a sea port terminal. The problem consists of assigning a block space in the yard of a container terminal to every incoming container while ensuring operational efficiency. The proposed framework uses a 2-stage framework in combination with a fuzzy logic rule-based strategy. The concept is motivated by the problem faced by container terminals in Chile and the aim is to provide real-time decision support to deal with a high degree of uncertainty in the arrival of containers at the yard. In addition, the framework provides a more flexible design to include a set of different criteria as well as different infrastructures and layouts of container ports. Numerical results are presented, comparing the results of the fuzzy framework with respect to algorithms proposed in the literature, considering different scenarios.

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