Abstract
Efficient automatic guided vehicle (AGV) scheduling is the key to increase the throughput of automated container terminals. Traditional transport strategies cannot guarantee that AGVs are fully loaded during their traveling between the dock and the container yard, which leads to the insufficient utilization of AGVs. A load-in-load-out AGV route planning mode provides two-way loading between the dock and the container yard and thus improves the efficiency of container terminals. In this paper, a load-in-load-out AGV route planning model is designed with the help of a buffer zone where an AGV can carry at most two containers. A simulated annealing algorithm is used to solve it. Comparisons with the popular generic algorithm and particle swarm algorithm are made. Simulation results show that the proposed algorithm can effectively solve the problem and realize the bi-directional loading of AGVs, which is of great significance to improve the efficiency of the production of automated container terminals.
Highlights
As one of the most basic logistics and transportation modes, sea transportation has been playing an important role in economic trade and cultural communication among worldwide countries
Efficient automatic guided vehicle (AGV) scheduling strategies are the key to ensure the high efficiency of an automatic container terminal, which has been studied by many scholars
Studies about AGV scheduling can be divided into three aspects: path planning, real-time scheduling, and resource
Summary
As one of the most basic logistics and transportation modes, sea transportation has been playing an important role in economic trade and cultural communication among worldwide countries. Efficient automatic guided vehicle (AGV) scheduling strategies are the key to ensure the high efficiency of an automatic container terminal, which has been studied by many scholars They can support the full use of port resources and realize the efficient operations of the quayside and yard. Y. Xu et al.: Load-In-Load-Out AGV Route Planning in Automatic Container Terminal provide a unified tabu search heuristic algorithm for time windows and multi-warehouse vehicle paths [6]. The aforementioned studies cannot guarantee that AGVs are fully loaded during their traveling between the dock and the container yard, which leads to the insufficient utilization of AGVs. With the increasing throughput of the port, the traditional operation mode will cause a waste of time and resources. This paper proposes a load-in load-out route planning for AGVs providing two-way loading between the dock and the container yard It is designed with the help of a buffer zone.
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