| Bulk terminals,such as coal and iron ore play an important role in ensuring the effective energy supply and resource import in our country.It is necessary to study scheduling optimization of bulk terminals.Under the excess capacity and fierce competition in the shipping industry,optimizing the operation of the berth will help strengthen the competitiveness of the bulk berth,enhance the handling capacity and operational efficiency,improve the customer experience and satisfaction.Environmental protection is advocated in the current economic society,it is effective in reducing port energy consumption,reducing carbon pollution and meeting the requirements of sustainable development.Berths are the most important docking facilities for bulk terminals.Ship unloader is one of the most important unloading equipment for bulk terminals.The joint scheduling of berths and ship unloaders can shorten the working time and waiting time of ships.Ship unloader is also one of the most energy-consuming facilities for bulk terminal operation.Reasonably arranging the scheduling and use of ship unloader can greatly reduce the resource consumption and reduce the environmental pollution.After discussing the necessity and rationality of scheduling optimization,this paper introduces the operation flow of bulk terminals,analyzes the characteristics of resource elements,determines the factors that affect the efficiency and energy consumption of terminals.A dual-objective model based on mixed-integer optimization was constructed.The weighted targets were weighted to obtain a comprehensive target to balance the total ship time in port and the total energy consumption of ship unloader.Genetic algorithm and improved particle swarm optimization algorithm are used to solve the examples and verify the effectiveness of the algorithm.By comparing the results of the two algorithms with FCFS results,it is found that the improved particle swarm algorithm is more comprehensive and faster than the genetic algorithm. |
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