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.
The Maritime Transport is a favoured tool regarding the universal exchanges because it has gone through several evolutions. Indeed, the containerization is considered as one of the most remarkable improvements in the shipping. The containers are rented by shipping companies. However, these companies meet an empty container availability problem at some ports of Maritime Transport Network (MTN) to satisfy the demands of clients. The objective of this work is to solve the problem of the imbalance of the distribution of containers and look for empty containers at less cost to meet the demands of clients. As a result, the authors propose an application to represent the MTN, and provide a balanced distribution of containers. The work presented in this article is based on a heuristic method by neighbourhood. It allows the process of the clients' demands and transfers of full containers as well as the research of empty containers by optimizing the cost of theirs return.