A GENETIC ALGORITHM FOR THE ALLOCATION OF DANGEROUS GOODS CONTAINERS IN A STORAGE YARD FOR FREIGHT VILLAGES AND DRY PORTS
Increased trade volume between the countries and the resulting increase in container scheduling causes both space allocation problems and traffic congestion at ports, storage yards and terminals, finally leading to occupational accidents. Although there are various studies conducted on containers for non-dangerous goods and handling of them in storage yards, the number of studies on the allocation of dangerous goods containers is limited. Especially the recent explosion at the Tianjin Industrial Port, which was considered to be originated from dangerous goods, highlighted that handling and storage of dangerous goods at the yards must be carried out with more care and attention. This study deals with the optimization of space allocation for dangerous goods containers in the yards for freight villages, dry port and space efficiency for storage yards with limited space. During the analysis, the requirements specified in the segregation table for dangerous goods are taken into account.
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