Smart Fleet Solutions: Simulating Electric AGV Performance in Industrial Settings
Tommaso Martone, Pietro Iob, Mauro Schiavo, Angelo Cenedese

TL;DR
This paper develops a simulation-based fleet management tool to evaluate electric AGV performance in industrial settings, addressing integration challenges and optimizing operational efficiency.
Contribution
It introduces a novel simulation framework for electric AGV fleet management in industrial environments, aiding in performance assessment and optimization.
Findings
Electric AGVs can improve sustainability in industrial settings.
Simulation results highlight key factors affecting AGV performance.
Recommendations for optimizing electric AGV fleet operations.
Abstract
This paper explores the potential benefits and challenges of integrating Electric Vehicles (EVs) and Autonomous Ground Vehicles (AGVs) in industrial settings to improve sustainability and operational efficiency. While EVs offer environmental advantages, barriers like high costs and limited range hinder their widespread use. Similarly, AGVs, despite their autonomous capabilities, face challenges in technology integration and reliability. To address these issues, the paper develops a fleet management tool tailored for coordinating electric AGVs in industrial environments. The study focuses on simulating electric AGV performance in a primary aluminum plant to provide insights into their effectiveness and offer recommendations for optimizing fleet performance.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Manufacturing and Logistics Optimization · Transportation and Mobility Innovations · Urban and Freight Transport Logistics
