Studies On Optimal Configuration Of Quay Crane In Container Terminal

Port is the hub connects the ocean shipping, inland water transportation and inland transportation. The port’s improvement in comprehensive capacity will maximize the economic benefits as well as the service level of port, which will spur more callings at this port, at the same time, the port service system, as a subsystem of the whole transportation system, will have an influence on the whole transportation system and the development of regional economy. Capacity of the port service will bring more opportunities to the hinterland economy, conduce to the prosperity of port hinterland economy, which has obvious social benefits.Due to the prosperity of container transport, container port has important strategic position in the port logistics. Container terminal logistics system can be divided into subsystem of berthing, transportation between berth and yard and yard operation, the coordination between subsystems contributes to achieving the maximum capacity of the whole system. This passage, researches the optimal configuration of equipment in container terminal, focus on the key link of the whole system, namely quayside loading and unloading subsystem as the research object, under the condition of other subsystems’ capacity being fully guaranteed to explore the optimal ownership of crane during the operating stage. Considering both the port and the ship’s comprehensive interests, a bi-level programming model is set up, using genetic and ant colony algorithm to solve and followed with index analysis to obtain the optimal ownership of the cranes container terminal based on the established probability model of port, by which provides decision support for configuration of crane in operation period.The results of numerical experiments show that the proposed model and heuristic are applicable to solve this difficult but essential terminal operation problem. The proposed approach make an equilibrium of the interest of the port and vessel as well as realize the best combination of service level and operating costs to guarantee the cost reduction and efficient use of resources.