2024 年 110 巻 14 号 p. 1058-1066
Automated Guided Vehicles (AGVs) are utilized in flexible job-shop production systems. In these systems, the most crucial issue is the proper scheduling of jobs. Moreover, AGVs in the factory are constrained to follow predetermined transportation routes, leading to potential spatial interference between AGVs. This paper investigates an analytical model of AGV flow using a multi-agent system and contract net protocol. Our model enables the AGV assignment and job manager agents to collaborate and make decisions based on traffic information feedback. This system allows for continuous monitoring of AGV density and ensures the maintenance of an appropriate distance between AGVs. As a result, it effectively mitigates traffic flow fluctuations, thereby enhancing the efficiency and stability of the AGV flow.
