Design of IoT-Based Monitoring System on Miniature Automated Storage and Retrieval System (ASRS) with Barcode-Based Item Identification Using ESP32

Amalia Khairun Nadia; Tatyantoro  Andrasto; Mario Norman Syah

doi:10.36456/fd514w79

Authors

Amalia Khairun Nadia Universitas Negeri Semarang
Tatyantoro Andrasto
Mario Norman Syah

DOI:

https://doi.org/10.36456/fd514w79

Keywords:

ASRS, IoT, ESP32, Barcode, MySQL, web dashboard, monitoring

Abstract

This study aims to design and develop a monitoring system for a miniature Automated Storage and Retrieval System (ASRS) based on Internet of Things (IoT) with barcode-based item identification using the ESP32 microcontroller. The system integrates the GM65-S barcode scanner, two ESP32 units as input and robot arm controllers, a MySQL database with 11 relational tables, and a web monitoring dashboard (SmartASRS) accessible at https://smartasrs.my.id. The research adopted the Research and Development (R&D) method with the Waterfall model. Testing was performed using Black Box Testing on all implemented features. Results showed a 100% success rate across 42 web monitoring test scenarios spanning 6 modules, and 100% across 81 database test scenarios spanning 11 tables. The system supports three item retrieval modes: FIFO (First In First Out), LIFO (Last In First Out), and FEFO (First Expired First Out). All features including real-time storage grid monitoring, barcode identification, robot progress tracking, and activity history functioned as designed. The SmartASRS system demonstrates that an integrated IoT-based ASRS monitoring solution can be effectively realized on a miniature scale as both a functional warehouse management system and an industrial automation learning medium.

References

[1] A. Jarasoniene, K. Ciziuniene, and A. Cereska, "Research on Impact of IoT on Warehouse Management," Sensors, vol. 23, no. 4, 2023.

[2] M. G. Khan, N. Ul Huda, and U. K. Uz Zaman, "Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design," Machines, vol. 10, no. 2, 2022.

[3] S. Antomarioni, L. Lucantoni, F. E. Ciarapica, and M. Bevilacqua, "Data-driven decision support system for managing item allocation in an ASRS," Expert Systems with Applications, vol. 185, 2021.

[4] D. Hercog, T. Lerher, M. Truntic, and O. Tezak, "Design and Implementation of ESP32-Based IoT Devices," Sensors, vol. 23, no. 15, 2023.

[5] C. R. Sahara and A. M. Aamer, "Real-time data integration of an internet-of-things-based smart warehouse: a case study," Int. J. Pervasive Computing and Communications, vol. 18, no. 5, pp. 622-644, 2022.

[6] E. Anisa and A. S. Juhri, "Rancang Bangun Sistem Manajemen Gudang Terintegrasi Barcode Berbasis Web," vol. 12, no. 4, 2025.

[7] S. A. P. Pratama, W. G. E. Rahim, and M. A. Nugraha, "IoT-Based Barcode Scanning System Implementation Using ESP32 for Enhancing Warehouse Stock Opname Efficiency," Int. J. Research and Applied Technology, vol. 5, no. 1, 2025.

[8] E. O. Sodiya, U. J. Umoga, O. O. Amoo, and A. Atadoga, "AI-driven warehouse automation: A comprehensive review of systems," GSC Advanced Research and Reviews, vol. 18, no. 2, pp. 272-282, 2024.

[9] B. Y. Ekren and A. Akpunar, "An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system," Applied Mathematical Modelling, vol. 89, pp. 1678-1695, 2021.

[10] E. Abdullah et al., "Development of Real-Time Energy Monitoring System and Data Log Using NodeMCU ESP8266 and MySQL Database," Journal of Mechanical Engineering, vol. 10, no. 1, 2021.