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| Indexado |
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| DOI | 10.1007/S13198-018-0733-X | ||||
| Año | 2018 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Recently, a new approach to solve the outbound container location problem motivated by the Shanghai maritime terminals was published. This approach addresses the problem by decomposing it into two stages. The first stage is a mathematical programming model and the second stage is a heuristic algorithm whose objective is to minimize the total reshuffle movements executed during the loading operation. That study reports that the diagonal stacking configuration provides the best performance. Conversely, this paper documents the results of a study to observe the performance of the various staking strategies under different conditions that can occur regularly in real ports. The parameters that are varied are the number of tiers in each stack, the number of container weight levels, and the permitted bay utilization. The results show that although the diagonal stacking strategy does provide the best performance under some conditions, it does not yield the best performance in other parameter combinations. The horizontal strategy is found to perform best for most of the parameter combinations considered in this study.
| Revista | ISSN |
|---|---|
| International #Journal Of Systems Assurance Engineering And Management | 0975-6809 |
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Guerra-Olivares, Roberto | Hombre |
Tecnol Monterrey - México
Tecnológico de Monterrey - México |
| 2 | Smith, Neale R. | Hombre |
Tecnol Monterrey - México
Tecnológico de Monterrey - México |
| 3 | GONZALEZ-RAMIREZ, ROSA GUADALUPE | Mujer |
Universidad de Los Andes, Chile - Chile
|
| 4 | Eduardo Cardenas-Barron, Leopoldo | Hombre |
Tecnol Monterrey - México
Tecnológico de Monterrey - México |
| 4 | Cárdenas-Barrón, Leopoldo Eduardo | Hombre |
Tecnológico de Monterrey - México
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| Agradecimiento |
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| This research was partially supported by the Tecnologico de Monterrey Research Group in Optimization and Data Science 0822B01006. |
| Acknowledgements This research was partially supported by the Tecnológico de Monterrey Research Group in Optimization and Data Science 0822B01006. |