Lock Station Allocation in Unlocking and Padlocking Operation of ART in Automated Container Terminal

Abstract

Aiming at the problem of the allocation of lock stations in the unlocking operation for ART (Artificial Intelligence Robot of Transportation) in a new type of automated container terminal, this paper proposes two strategies, dynamic allocation and random allocation, to achieve the allocation of ART in lock stations. Combining two strategies with Anylogic simulation software, this paper constructs a simulation model of lock station allocation in ART unlocking operation, and develops three indexes, including the utilization rate of lock station, operation time of ART and waiting time of ART in the pre-parallel buffer (QPB). The simulation results show that the dynamic allocation strategy play the main role in lock stations, reduce the operation time and queuing time of ART, and have a good application value.