Motion Coordination of AGV's in FMS using Petri Nets

Hernández‐Martínez, Eduardo Gamaliel; Foyo-Valdés, Sergio A.; Puga-Velazquez, Erika S.; Meda-Campaña, J. A.

doi:10.1016/j.ifacol.2015.06.079

Cited by 5 publications

(1 citation statement)

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“…[2] focuses on the traffic control of AGVs in a large manufacturing system, using Petri Net models. A more macroscopic work on motion control of AGVs is presented in [3]. [4] proposed an intelligent detection method of bottleneck (IDMOB) in discrete manufacturing systems, employing object-oriented colored Petri nets (OOCPN) combined with cloud simulation.…”

Section: Relevant Workmentioning

confidence: 99%

Simulating AGVs in a modern production environment using Petri Nets and GPenSIM

Gade,

Schedel,

Davidrajuh

2024

Preprint

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This paper presents a comprehensive simulation study of Automated Guided Vehicles (AGVs) in a fabricated production environment for toy car assembly. This paper uses Petri Nets for modeling and the General Petri Net Simulator (GPenSIM) for model implementation on MATLAB and simulation. The primary focus of this research is to analyze the operational efficiency of AGVs under varying conditions, particularly examining the impact of battery charge reduction rates and the strategic placement of charging stations within the production line. By employing Colored Petri Nets (CPN) within GPenSIM, we have developed a detailed and dynamic model that captures the intricate movements and interactions of AGVs in a simulated manufacturing setting. By presenting an approach to simulating AGVs in a production environment, this paper specifically focuses on two critical operational parameters: the battery charge reduction rate of AGVs and the number of charging stations available in the production line. Unlike previous studies that have primarily concentrated on general path planning or bottleneck detection in manufacturing systems, this paper delves into the intricate balance between AGV operational efficiency and the logistical constraints imposed by battery life and charging infrastructure.

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Section: Relevant Workmentioning

confidence: 99%