<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This work discusses the problem of dangerous containers storage in a container terminal. Container terminal represents an essential intermodal interfaces for global transportation network. Several materials handling possible to move containers at the port to better meet the needs of ships awaiting loading or unloading. Have a good organization of the terminal's container storage area requires a special effort. Containers search times can be considerable and lead to delays causing financial penalties for terminal management operators. An optimal location for a container in a terminal is very important for companies because this operation reduces transportation costs. In this article, we propose an approach for the placement problem of hazardous containers through the description of an optimization model to solve and optimize available storage space. The interest of this work is to develop a computer tool to enable the identification of the best location of a hazardous container using the Genetic Algorithm.</p></abstract>

This work discusses the problem of dangerous containers storage in a container terminal. Container terminal represents an essential intermodal interfaces for global transportation network. Several materials handling possible to move containers at the port to better meet the needs of ships awaiting loading or unloading. Have a good organization of the terminal's container storage area requires a special effort. Containers search times can be considerable and lead to delays causing financial penalties for terminal management operators. An optimal location for a container in a terminal is very important for companies because this operation reduces transportation costs. In this article, we propose an approach for the placement problem of hazardous containers through the description of an optimization model to solve and optimize available storage space. The interest of this work is to develop a computer tool to enable the identification of the best location of a hazardous container using the Genetic Algorithm.

Storage Management of Hazardous Containers Using the Genetic Algorithm

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Storage Management of Hazardous Containers Using the Genetic Algorithm"}

This work discusses the problem of dangerous containers storage in a container terminal. Container terminal represents an essential intermodal interfaces for...

Storage Management of Hazardous Containers Using the Genetic Algorithm

Online veröffentlicht: 23. Nov. 2016

Seitenbereich: 371 - 383

DOI: https://doi.org/10.1515/ttj-2016-0033

Schlüsselwörter
maritime transport, container, optimization, storage area, genetic algorithm, hazardous materials, optimum location

© 2016 Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Storage Management of Hazardous Containers Using the Genetic Algorithm

Online veröffentlicht: 23. Nov. 2016

Seitenbereich: 371 - 383

DOI: https://doi.org/10.1515/ttj-2016-0033

Schlüsselwörtermaritime transport, container, optimization, storage area, genetic algorithm, hazardous materials, optimum location

© 2016 Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
maritime transport, container, optimization, storage area, genetic algorithm, hazardous materials, optimum location