چكيده به لاتين
Maritime transportation is a branch of the transportation that plays a key role in global trade. Container terminals at seaports create the connection bridges between land and maritime goods transport in the global goods transport chain. One of the main challenges facing a container terminal, is how to allocate quay to called vessels so that berth limited resources have their own most performance. Therefore, by using information such as arrival time of vessels that is usually estimated in advance, the schedule for optimize berthing vessels is set. However, due to various uncertainties reasons such as inclement weather, vessels actual time of arrival and handling, often deviates from the estimated value, which may disrupt the berth initial schedule and even in some cases makes it impractical. In this thesis it has been tried to recover berth schedule in real-time with minimum deviation from the initial schedule after determining the exact time of vessel arrival. The port of Shahid Rajaee located in Hormozgan province is selected as a case study and using real information, the Genetic Algorithm has been used to solve the problem. After surveying the available information, determined that there is a deviation of more than 10 hours between the actual and estimated time of arrival for each vessel on average, that will disturb the berthing initial program certainly. Therefore, the berth allocation problem will be solved again using more accurate arrival time once by the initial baseline model and ones by recovering real-time model. By comparing the results, the deviation of the initial schedule decreases as much as 48.89 percent in the recovered allocation than reallocation program. Preliminary results show that the proposed model can be successfully applied to minimize the effect of disturbance in real-time.
