Abstract
Considering the uncertainty of the speed of horizontal transportation equipment,a cooperative scheduling model of multiple equipment resources in the automated container terminal was constructed to minimize the completion time,thus improving the loading and unloading efficiencies of automated container terminals.The proposed model integrated the two loading and unloading processes of"double-trolley quay crane + AGV + ARMG"and"single-trolley quay crane + container truck + ARMG"and then designed the simulated annealing particle swarm algorithm to solve the model.By comparing the results of the particle swarm algorithm and genetic algorithm,the algorithm designed in this paper could effectively improve the global and local space search capability of finding the optimal solution.Furthermore,the results showed that the proposed method of collaborative scheduling of multiple equipment resources in automated terminals considering hybrid processes effectively improved the loading and unloading efficiencies of automated container terminals.The findings of this study provide a reference for the improvement of loading and unloading processes as well as coordinated scheduling in automated terminals.
基金项目
国家重点研发计划(2017YFC0805309)
福建省自然科学基金(2021J01820)
Department of Education of Fujian Province Project(JAT190294)
Department of Education of Fujian Province Project(JAT210230)
NETL
NSTL
万方数据