Version 1
: Received: 24 April 2024 / Approved: 24 April 2024 / Online: 24 April 2024 (17:33:34 CEST)
How to cite:
Gade, M.; Schedel, M.; Davidrajuh, R. Simulating AGVs in a modern production environment using Petri Nets and GPenSIM. Preprints2024, 2024041634. https://doi.org/10.20944/preprints202404.1634.v1
Gade, M.; Schedel, M.; Davidrajuh, R. Simulating AGVs in a modern production environment using Petri Nets and GPenSIM. Preprints 2024, 2024041634. https://doi.org/10.20944/preprints202404.1634.v1
Gade, M.; Schedel, M.; Davidrajuh, R. Simulating AGVs in a modern production environment using Petri Nets and GPenSIM. Preprints2024, 2024041634. https://doi.org/10.20944/preprints202404.1634.v1
APA Style
Gade, M., Schedel, M., & Davidrajuh, R. (2024). Simulating AGVs in a modern production environment using Petri Nets and GPenSIM. Preprints. https://doi.org/10.20944/preprints202404.1634.v1
Chicago/Turabian Style
Gade, M., Matthias Schedel and Reggie Davidrajuh. 2024 "Simulating AGVs in a modern production environment using Petri Nets and GPenSIM" Preprints. https://doi.org/10.20944/preprints202404.1634.v1
Abstract
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.
Keywords
Automated Guided Vehicles; Toy Car Assembly; Petri Nets; GPenSIM; Modeling and Simulation; AGV battery life; AGV charging infrastructure
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
