This work focuses on the coordination of a heterogeneous fleet of electrical Automated Guided Vehicles (AGVs) within an industrial plant, aiming at optimizing agent mobility and enhancing plant surveillance. The study recreates the simulated environment of a feasible industrial plant to apply different strategies for AGVs collaboration and develop a dynamic optimal routing of the vehicles based on a trade-off between the least visited areas of the plant and the fastest path to accomplish specific tasks. In addition, the research addresses the critical issue of determining the minimum number of vehicles required to maintain full operational capacity within the industry.
Questo lavoro si concentra sul coordinamento di una flotta eterogenea di AGV elettrici all’interno di un impianto industriale, con l’obiettivo di ottimizzare la mobilità degli agenti e migliorare la sorveglianza dell’impianto. Lo studio ricrea l’ambiente simulato di un possibile impianto industriale per applicare diverse strategie di collaborazione tra AGV e sviluppare un instradamento dinamico ottimale dei veicoli basato su un compromesso tra l’area meno visitata dello stabilimento e il percorso più veloce per svolgere determination compiti. Inoltre, la ricerca affronta la questione critica di determinare il numero minimo di veicoli necessari per mantenere la piena capacità operativa all’interno dell’impianto.
Coordination of a fleet of AGVs performing heterogeneous tasks on an industrial plant
MARTONE, TOMMASO
2023/2024
Abstract
This work focuses on the coordination of a heterogeneous fleet of electrical Automated Guided Vehicles (AGVs) within an industrial plant, aiming at optimizing agent mobility and enhancing plant surveillance. The study recreates the simulated environment of a feasible industrial plant to apply different strategies for AGVs collaboration and develop a dynamic optimal routing of the vehicles based on a trade-off between the least visited areas of the plant and the fastest path to accomplish specific tasks. In addition, the research addresses the critical issue of determining the minimum number of vehicles required to maintain full operational capacity within the industry.File | Dimensione | Formato | |
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Martone_Tommaso.pdf
embargo fino al 16/04/2027
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https://hdl.handle.net/20.500.12608/64611