Optimisation of berth and quay crane joint scheduling considering efficiency and energy consumption

In order to reduce the energy consumption of ships and quay crane in the port area, the joint scheduling problem of berth and quay crane is studied on the premise that ship arrival information and terminal status information are known. Considering the needs of the shipping company and the interests of the port owner, a multi-objective mixed integer programming model is established to maximise the operational efficiency of ships in the port and minimise the total cost of the terminal, and a local search strategy is designed to solve the quay crane scheduling problem between adjacent ships. At the same time, combining topological structure and iterative coefficient mechanism, an improved particle swarm optimisation algorithm is designed to solve the model, and the Pareto non-inferior solution set is obtained. Finally, the applicability and effectiveness of the proposed model and algorithm are verified by comparison of algorithms with different scales and analysis of multi-scenario results.