Scalable and Affordable IoT-based Inventory Control with Real-Time Monitoring for Small and Medium Enterprises
DOI:
https://doi.org/10.9744/jti.27.1.121-136Keywords:
Iot-based inventory control, real-time monitoring, SMEs, scalable inventory systems, cost-effective automationAbstract
Small and medium enterprises (SMEs) often struggle to adopt advanced inventory management systems due to high implementation costs and infrastructure complexity—barriers that are especially challenging in the context of Industry 4.0. This paper presents a scalable and affordable IoT-based stock monitoring and control system designed for small and medium enterprises. The proposed system integrates low-cost microcontrollers with ultrasonic sensors, enabling real-time stock tracking while reducing hardware expenses and complexity. Unlike existing solutions, it leverages a modular architecture for seamless scalability across different inventory sizes and environments. The system is validated through compliance with the Industry 4.0 Maturity Index and the ISA-95 standard, demonstrating its suitability for digital transformation in SME operations. Performance evaluation shows an accuracy rate exceeding 98% and response times under 10 seconds, ensuring reliable operation under varying environmental conditions. A comparative cost analysis highlights significant savings compared to conventional automated inventory systems. This approach provides an accessible entry point for SMEs seeking to enhance inventory visibility, operational efficiency, and readiness for Industry 4.0 integration.
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L. Barreto, A. Amaral, and T. Pereira, “Industry 4.0 implications in logistics: An overview,” Procedia Manufacturing, vol. 13, pp. 1245–1252, Jan. 2017, doi: https://doi.org/10.1016/j.promfg.2017.09.045.
J. Lee, B. Bagheri, and H.-A. Kao, “A cyber-physical systems architecture for Industry 4.0-based manufacturing systems,” Manufacturing Letters, vol. 3, pp. 18–23, Jan. 2015, doi: https://doi.org/10.1016/j.mfglet.2014.12.001.
N. Rani, M. K. Sharma, S. Kathuria, N. Yamsani, S. V. Akram, and R. Balyan, “Revolutionizing inventory management: The role of IoT in inventory management 4.0,” presented at the 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL), IEEE Computer Society, Mar. 2024, pp. 642–646. doi: https://doi.org/10.1109/ICSADL61749.2024.00110.
V. Sai Chitti Subrahmanyam et al., “Smart warehouse management system,” in Recent Trends in Renewable Energy Sources and Power Conversion, R. Seyezhai, S. Karuppuchamy, and L. Ashok Kumar, Eds., Singapore: Springer, 2021, pp. 99–114. doi: https://doi.org/10.1007/978-981-16-0669-4_8.
X. Wang, V. Kumar, A. Kumari, and E. Kuzmin, “Impact of digital technology on supply chain efficiency in manufacturing industry,” in Digital Transformation in Industry, V. Kumar, J. Leng, V. Akberdina, and E. Kuzmin, Eds., Cham: Springer International Publishing, 2022, pp. 347–371. doi: https://doi.org/10.1007/978-3-030-94617-3_25.
S. Raharno and G. Cooper, “Jumping to Industry 4.0 through process design and managing information for smart manufacturing: Configurable virtual workstation,” in Industry 4.0 – Shaping The Future of The Digital World, vol. 1, in 1, vol. 1. , CRC Press, 2020, p. 5. https://www.taylorfrancis.com/chapters/edit/10.1201/9780367823085-9/jumping-industry-4-0-process-design-managing-information-smart-manufacturing-configurable-virtual-workstation-raharno-cooper
S. Raharno and V. S. Yosephine, “Intelligent flexible assembly system for labor-intensive factory using the configurable virtual workstation concept,” Int J Interact Des Manuf, vol. 18, no. 1, pp. 465–478, Jan. 2024, doi: https://doi.org/10.1007/s12008-023-01567-3.
A. Tarallo, R. Mozzillo, G. Di Gironimo, and R. De Amicis, “A cyber-physical system for production monitoring of manual manufacturing processes,” Int J Interact Des Manuf, vol. 12, no. 4, pp. 1235–1241, Nov. 2018, doi: https://doi.org/10.1007/s12008-018-0493-5.
V. Systems, “The Ultimate Guide to RFID Costs,” Vertical systems inc. Accessed: Sep. 22, 2024. [Online]. Available: https://vertsys.com/guide-to-rfid-costs/
S. Teerasoponpong and A. Sopadang, “Decision support system for adaptive sourcing and inventory management in small- and medium-sized enterprises,” Robotics and Computer-Integrated Manufacturing, vol. 73, p. 102226, Feb. 2022, doi: https://doi.org/10.1016/j.rcim.2021.102226.
S. Y. Tanjung, K. Yahya, and S. Halim, “Predicting the readiness of Indonesia manufacturing companies toward Industry 4.0: A machine learning approach,” Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 23, no. 1, Art. no. 1, May 2021, doi: https://doi.org/10.9744/jti.23.1.1-10.
R. P. Sari and D. T. Santoso, “Readiness factor identification on Kabupaten Karawang SMEs towards Industry 4.0 Era,” Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 22, no. 1, pp.65-74, 2020, doi: https://doi.org/10.9744/jti.22.1.65-74.
T.-C. Wen, Y.-C. Chang, and K.-H. Chang, “Cost-benefit analysis of RFID application in apparel retailing for SME: A case from Taiwan,” Transportation Journal, vol. 49, no. 3, pp. 57–66, 2010. https://www.jstor.org/stable/40904905.
M. Hehua, “Application of passive Wireless RFID Asset Management in Warehousing of Cross‐Border E‐Commerce Enterprises - Hehua - 2021 - Journal of Sensors - Wiley Online Library.” Accessed: Sep. 22, 2024. [Online]. Available: https://onlinelibrary.wiley.com/doi/full/10.1155/2021/6438057
L. Louw and M. Walker, “Design and implementation of a low cost RFID track and trace system in a learning factory,” Procedia Manufacturing, vol. 23, pp. 255–260, Jan. 2018, doi: https://doi.org/10.1016/j.promfg.2018.04.026.
K. Sangsane and A. Vanichchinchai, “Improvement of warehouse storage area and system: An application of visual control and barcode,” in 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA), Apr. 2021, pp. 444–448. doi: https://doi.org/10.1109/ICIEA52957.2021.9436727.
M.-H. Lin, M. A. Sarwar, Y.-A. Daraghmi, and T.-U. İk, “On-shelf load cell calibration for positioning and weighing assisted by activity detection: Smart store scenario,” IEEE Sensors Journal, vol. 22, no. 4, pp. 3455–3463, Feb. 2022, doi: https://doi.org/10.1109/JSEN.2022.3140356.
P. Octaviani and W. Ce, “Inventory placement mapping using Bluetooth low energy beacon technology for warehouses,” in 2020 International Conference on Information Management and Technology (ICIMTech), Aug. 2020, pp. 354–359. doi: https://doi.org/10.1109/ICIMTech50083.2020.9211206.
F. Han et al., “Improvement of monitoring production status of iron and steel factories based on thermal infrared remote sensing,” Sustainability, vol. 15, no. 11, Art. no. 11, Jan. 2023, doi: https://doi.org/10.3390/su15118575.
M. Hehua, “Application of passive wireless RFID asset management in warehousing of cross-border e-commerce enterprises,” Journal of Sensors, vol. 2021, no. 1, p. 6438057, 2021, doi: https://doi.org/10.1155/2021/6438057.
M. Batara and V. S. Yosephine, “Alat pendeteksi stok barang berbasis IoT untuk UMKM dengan sensor ultrasonik dan inframerah,” Journal of Integrated System, vol. 7, no. 1, Art. no. 1, Jun. 2024, doi: https://doi.org/10.28932/jis.v7i1.8525.
B. Scholten, The Road to Integration: A Guide to Applying the ISA-95 Standard in Manufacturing. ISA, 2007.Available: https://www.isa.org/products/the-road-to-integration-a-guide-to-applying-th-1
A. Schumacher, T. Nemeth, and W. Sihn, “Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises,” Procedia CIRP, vol. 79, pp. 409–414, Jan. 2019, doi: https://doi.org/10.1016/j.procir.2019.02.110.
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