A fully fuzzy linear programming model for berth allocation and quay crane assignment

Flabio Gutierrez, Edwar Lujan, Rafael Asmat, Edmundo Vergara

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

In this work, we develop a model of fully fuzzy linear programming (FFLP) for the continuous and dynamic Berth Allocation and Quay Crane Assignment (BAP+QCAP). We assume that the arrival time of vessels is imprecise, meaning that vessels can be late or early up to a threshold allowed. Triangular fuzzy numbers represent the imprecision of the arrivals. The model proposed has been implemented in MIP solver and evaluated to a study case composed of 10 vessels. The model allows us to obtain a fuzzy berthing plan assigning likewise an adequate number of cranes to each vessel. The plan is adaptable to incidences that may occur in the vessel arrivals.

Idioma originalInglés
Título de la publicación alojadaAdvances in Artificial Intelligence – IBERAMIA 2018 - 16th Ibero-American Conference on AI, Proceedings
EditoresEduardo Fermé, Guillermo R. Simari, Flabio Gutiérrez Segura, José Antonio Rodríguez Melquiades
EditorialSpringer Verlag
Páginas302-313
Número de páginas12
ISBN (versión impresa)9783030039271
DOI
EstadoPublicada - 2018
Evento16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018 - Trujillo, Perú
Duración: 13 nov. 201816 nov. 2018

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11238 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018
País/TerritorioPerú
CiudadTrujillo
Período13/11/1816/11/18

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