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

Jana Ries; Rosa Guadalupe González-Ramírez; Pablo Miranda

doi:10.1007/978-3-319-11421-7_7

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

Jana Ries, Rosa Guadalupe González-Ramírez, Pablo Miranda

Centre for Operational Research & Logistics

Pontificia Universidad Católica de Valparaíso

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

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.

Original language	English
Title of host publication	Computational Logistics
Subtitle of host publication	5th International Conference, ICCL 2014, Valparaiso, Chile, September 24-26. Proceedings
Publisher	Springer
Pages	93-111
Number of pages	19
ISBN (Electronic)	978-3319114217
ISBN (Print)	978-3319114200
DOIs	https://doi.org/10.1007/978-3-319-11421-7_7
Publication status	Published - 1 Oct 2014
Event	5th International Conference, ICCL 2014 - Valparaiso, Valparaiso, Chile, Chile Duration: 24 Sept 2014 → 26 Sept 2014

Publication series

Name	Lecture Notes in Computer Science
Volume	8760
ISSN (Print)	0302-9743

Conference

Conference	5th International Conference, ICCL 2014
Country/Territory	Chile
City	Valparaiso, Chile
Period	24/09/14 → 26/09/14

Keywords

Storage space allocation
container terminal operations
fuzzy logic
online decision support

Access to Document

10.1007/978-3-319-11421-7_7

RIES_2014_cright_LNCS_A Fuzzy Logic Model for the Container Stacking
This is an Accepted Manuscript of an article published in Lecture Notes in Computer Science. The final publication is available at Springer via http://link.springer.com/chapter/10.1007/978-3-319-11421-7_7.
Accepted author manuscript (Post-print), 553 KB

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Ries, J., González-Ramírez, R. G., & Miranda, P. (2014). A fuzzy logic model for the container stacking problem at container terminals. In Computational Logistics: 5th International Conference, ICCL 2014, Valparaiso, Chile, September 24-26. Proceedings (pp. 93-111). (Lecture Notes in Computer Science; Vol. 8760). Springer. https://doi.org/10.1007/978-3-319-11421-7_7

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title = "A fuzzy logic model for the container stacking problem at container terminals",

abstract = "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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author = "Jana Ries and Gonz{\'a}lez-Ram{\'i}rez, {Rosa Guadalupe} and Pablo Miranda",

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Ries, J, González-Ramírez, RG & Miranda, P 2014, A fuzzy logic model for the container stacking problem at container terminals. in Computational Logistics: 5th International Conference, ICCL 2014, Valparaiso, Chile, September 24-26. Proceedings. Lecture Notes in Computer Science, vol. 8760, Springer, pp. 93-111, 5th International Conference, ICCL 2014, Valparaiso, Chile, Chile, 24/09/14. https://doi.org/10.1007/978-3-319-11421-7_7

A fuzzy logic model for the container stacking problem at container terminals. / Ries, Jana; González-Ramírez, Rosa Guadalupe; Miranda, Pablo.
Computational Logistics: 5th International Conference, ICCL 2014, Valparaiso, Chile, September 24-26. Proceedings. Springer, 2014. p. 93-111 (Lecture Notes in Computer Science; Vol. 8760).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

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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KW - online decision support

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

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