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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationComputational Logistics
Subtitle of host publication5th International Conference, ICCL 2014, Valparaiso, Chile, September 24-26. Proceedings
PublisherSpringer
Pages93-111
Number of pages19
ISBN (Electronic)978-3319114217
ISBN (Print)978-3319114200
DOIs
Publication statusPublished - 1 Oct 2014
Event5th International Conference, ICCL 2014 - Valparaiso, Valparaiso, Chile, Chile
Duration: 24 Sep 201426 Sep 2014

Publication series

NameLecture Notes in Computer Science
Volume8760
ISSN (Print)0302-9743

Conference

Conference5th International Conference, ICCL 2014
CountryChile
CityValparaiso, Chile
Period24/09/1426/09/14

Documents

  • RIES_2014_cright_LNCS_A Fuzzy Logic Model for the Container Stacking

    Rights statement: 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, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 1750645