A fully fuzzy linear programming model to the berth allocation problem

Flabio Gutierrez Segura; Edwar Lujan Segura; Edmundo Vergara Moreno; Rafael Asmat Uceda

doi:10.15439/2017F339

A fully fuzzy linear programming model to the berth allocation problem

Flabio Gutierrez Segura, Edwar Lujan Segura, Edmundo Vergara Moreno, Rafael Asmat Uceda

Departamento Académico de Matemática

Universidad Nacional de Trujillo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

15 Citas (Scopus)

Resumen

The berth allocation problem (BAP) in marine container terminals is defined as the feasible berth allocation to the incoming vessels. In this work, we develop a model of fully fuzzy linear programming (FFLP) for the continuous and dynamic BAP. The vessel arrival times are assumed to be imprecise, meaning that the vessel can be late or early up to a threshold permitted. Triangular fuzzy numbers represent the uncertainty of the arrivals. The model proposed has been implemented in CPLEX and evaluated for different instances. The results obtained show that the model proposed is helpful to the administrators of a marine container terminal, since a plan supporting imprecision in the arrival time of vessels, optimized with respect to the waiting time and easily adaptable to possible incidents and delays, is available to them.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
Editores	Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	453-458
Número de páginas	6
ISBN (versión digital)	9788394625375
DOI	https://doi.org/10.15439/2017F339
Estado	Publicada - 10 nov. 2017
Evento	2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 - Prague, República Checa Duración: 3 set. 2017 → 6 set. 2017

Serie de la publicación

Nombre	Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017

Conferencia

Conferencia	2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
País/Territorio	República Checa
Ciudad	Prague
Período	3/09/17 → 6/09/17

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10.15439/2017F339

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Segura, F. G., Segura, E. L., Moreno, E. V., & Uceda, R. A. (2017). A fully fuzzy linear programming model to the berth allocation problem. En M. Ganzha, L. Maciaszek, & M. Paprzycki (Eds.), Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 (pp. 453-458). Artículo 8104581 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15439/2017F339

Segura, Flabio Gutierrez ; Segura, Edwar Lujan ; Moreno, Edmundo Vergara et al. / A fully fuzzy linear programming model to the berth allocation problem. Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. editor / Maria Ganzha ; Leszek Maciaszek ; Marcin Paprzycki. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 453-458 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017).

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title = "A fully fuzzy linear programming model to the berth allocation problem",

abstract = "The berth allocation problem (BAP) in marine container terminals is defined as the feasible berth allocation to the incoming vessels. In this work, we develop a model of fully fuzzy linear programming (FFLP) for the continuous and dynamic BAP. The vessel arrival times are assumed to be imprecise, meaning that the vessel can be late or early up to a threshold permitted. Triangular fuzzy numbers represent the uncertainty of the arrivals. The model proposed has been implemented in CPLEX and evaluated for different instances. The results obtained show that the model proposed is helpful to the administrators of a marine container terminal, since a plan supporting imprecision in the arrival time of vessels, optimized with respect to the waiting time and easily adaptable to possible incidents and delays, is available to them.",

author = "Segura, {Flabio Gutierrez} and Segura, {Edwar Lujan} and Moreno, {Edmundo Vergara} and Uceda, {Rafael Asmat}",

note = "Publisher Copyright: {\textcopyright} 2017 PTI.; 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 ; Conference date: 03-09-2017 Through 06-09-2017",

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Segura, FG, Segura, EL, Moreno, EV & Uceda, RA 2017, A fully fuzzy linear programming model to the berth allocation problem. En M Ganzha, L Maciaszek & M Paprzycki (eds.), Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017., 8104581, Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 453-458, 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017, Prague, República Checa, 3/09/17. https://doi.org/10.15439/2017F339

A fully fuzzy linear programming model to the berth allocation problem. / Segura, Flabio Gutierrez; Segura, Edwar Lujan; Moreno, Edmundo Vergara et al.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. ed. / Maria Ganzha; Leszek Maciaszek; Marcin Paprzycki. Institute of Electrical and Electronics Engineers Inc., 2017. p. 453-458 8104581 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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PY - 2017/11/10

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AB - The berth allocation problem (BAP) in marine container terminals is defined as the feasible berth allocation to the incoming vessels. In this work, we develop a model of fully fuzzy linear programming (FFLP) for the continuous and dynamic BAP. The vessel arrival times are assumed to be imprecise, meaning that the vessel can be late or early up to a threshold permitted. Triangular fuzzy numbers represent the uncertainty of the arrivals. The model proposed has been implemented in CPLEX and evaluated for different instances. The results obtained show that the model proposed is helpful to the administrators of a marine container terminal, since a plan supporting imprecision in the arrival time of vessels, optimized with respect to the waiting time and easily adaptable to possible incidents and delays, is available to them.

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Segura FG, Segura EL, Moreno EV, Uceda RA. A fully fuzzy linear programming model to the berth allocation problem. En Ganzha M, Maciaszek L, Paprzycki M, editores, Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 453-458. 8104581. (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017). doi: 10.15439/2017F339

A fully fuzzy linear programming model to the berth allocation problem

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