Digital Transformation of Intralogistics: A Framework for AGV Integration in Industry 4.0 Warehouses
Ilham NAIT HIM, Rachid LGHOUL, Ouassil HAIDAR
Abstract. The paper offer a framework of how Automated Guided Vehicle (AGV) can be implemented and configured in Industry 4.0 warehouses. It incorporates two hardware platforms: an Arduino Mega 2560 based hardware outfitted with RFID and obstacle-avoidance, and an Arduino UNO based hardware with Bluetooth control and GPS positioning. The architecture provides a unified control platform, which is an infrared line following control, ultrasonic obstacle detection control, RFID-based destination identification, and GPS positioning. Path following Proportional-integral-derivative (PID) control algorithms are used and adjusted to improve the path following, with better track-following results than uncontrolled systems. The navigation technologies are tested with reference to various working parameters. Findings show that the integration of AGV can enhance the throughput of the warehouse by 85%, labour productivity by 145%, safety incidents by 84 % and a payback period of 1.1 years. The paper introduces the methodology and describes the system architecture and Mechanical Design and Electronic Control, and discusses the results analysis, and concludes the paper at the end.
Keywords
Automated Guided Vehicle (AGV), Industry 4.0, Smart Warehouse, Digitalization, Intralogistics, PID Control, Navigation Systems
Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ilham NAIT HIM, Rachid LGHOUL, Ouassil HAIDAR, Digital Transformation of Intralogistics: A Framework for AGV Integration in Industry 4.0 Warehouses, Materials Research Proceedings, Vol. 64, pp 314-321, 2026
DOI: https://doi.org/10.21741/9781644904091-39
The article was published as article 39 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] Y. K. Tham, H. Wang, and E. K. Teoh, “Multi-sensor fusion for steerable four-wheeled industrial vehicles,” Control Engineering Practice, vol. 7, no. 10, pp. 1233-1248, Oct. 1999. https://doi.org/10.1016/S0967-0661(99)00101-X
[2] H. Hu, X. Jia, Q. He, S. Fu, and K. Liu, “Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0,” Computers & Industrial Engineering, vol. 149, p. 106749, Aug. 2020. https://doi.org/10.1016/j.cie.2020.106749
[3] T. Le-Anh and D. K. M. B. M, “A review of design and control of Automated Guided Vehicle Systems.[online]” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=594969
[4] Z. Zhang, J. Chen, and Q. Guo, “Application of Automated guided Vehicles in Smart Automated Warehouse Systems: A survey,” Computer Modeling in Engineering & Sciences, pp. 1-10, Jan. 2022. https://doi.org/10.32604/cmes.2022.021451
[5] A. Visioli, “PID Control System Design and Automatic Tuning Using MATLAB/SIMULINK [Bookshelf],” in IEEE Control Systems Magazine, vol. 41, no. 3, pp. 99-100, June 2021. https://doi.org/10.1109/MCS.2021.3062959
[6] J. Kekelak, D. Nemec, T. Ivan, J. Capak, J. Kafkova and P. Kuchar, “Design of a Modular Control System for an AGV,” 2024 ELEKTRO (ELEKTRO), Zakopane, Poland, 2024, pp. 1-6. https://doi.org/10.1109/ELEKTRO60337.2024.10557114
[7] E. H. E. Suryadarma, P. W. Laksono, I. Priadythama, and L. Herdiman, “Human Cyber Physical System in Manufacturing 4.0: an application for intelligent SCADA-Based manufacturing,” in Lecture notes in mechanical engineering, 2025, pp. 103-114. https://doi.org/10.1007/978-981-96-4353-0_10
[8] S. Tayade and H. D. Schotten, “Control Requirements Aware Resource Allocation for Edge-cloud based AGV,” 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Jaipur, India, 2023, pp. 598-603. https://doi.org/10.1109/ANTS59832.2023.10468802
[9] Haryono, “Building an automated guided vehicle based on UWB technology,” Indonesian Journal of Computer Science, vol. 13, no. 6, Dec. 2024. https://doi.org/10.33022/ijcs.v13i6.4487
[10] B. Masoudi, N. Razi, and J. Rezazadeh, “IoT-Enabled indoor Real-Time tracking using UWB for smart warehouse management,” Computers, vol. 14, no. 12, p. 510, Nov. 2025. https://doi.org/10.3390/computers14120510

