Streamlining Warehouse Process: A UHF RFID-Enabled Smart Warehouse System Design

Main Article Content

Rayinda Pramuditya Soesanto
Yodi Nurdiansyah
Amelia Kurniawati

Keywords

Design thinking, Smart warehouse, UHF RFID

Abstract

In the era of digital transformation, the Internet of Things (IoT) has emerged as a pivotal force in information technology. This research addresses the pressing need for companies to integrate IoT technology, specifically Ultra-High Frequency Radio-Frequency Identification (UHF RFID), into their warehouse systems. The study aims to tackle the challenges faced by companies during peak periods, such as online shopping promotions, where transaction volumes surge, demanding efficient inventory and shipment management.


 


The proposed solution involves implementing an IoT-based warehouse management system leveraging UHF RFID technology. This system seeks to optimize inventory and shipment management through real-time data collection, processing, and analysis. By continuously monitoring inventory and delivery processes, companies can swiftly identify and address issues. The integration of UHF RFID with the information system not only enhances order fulfillment efficiency during peak times but also reduces costs and time associated with inventory management.


 


This research advocates for the strategic adoption of an IoT-based warehouse management system, emphasizing the benefits of UHF RFID integration, including enhanced accuracy, reduced labor costs, and overall improved business efficiency. The findings provide valuable insights into the practical implementation of IoT technologies, offering a roadmap for companies seeking to optimize warehouse operations and meet customer demands with precision in today's competitive digital landscape.

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References

[1] J. Mao, H. Xing, and X. Zhang, “Design of Intelligent Warehouse Management System,” Wirel. Pers. Commun., vol. 102, no. 2, pp. 1355–1367, 2018, doi: 10.1007/s11277-017-5199-7.
[2] J. Y. Shiau and M. C. Lee, “A warehouse management system with sequential picking for multi-container deliveries,” Comput. Ind. Eng., vol. 58, no. 3, pp. 382–392, 2010, doi: 10.1016/j.cie.2009.04.017.
[3] A. M. Atieh et al., “Performance Improvement of Inventory Management System Processes by an Automated Warehouse Management System,” Procedia CIRP, vol. 41, pp. 568–572, 2016, doi: 10.1016/j.procir.2015.12.122.
[4] N. Amanda Istiqomah, P. Fara Sansabilla, D. Himawan, and M. Rifni, “The Implementation of Barcode on Warehouse Management System for Warehouse Efficiency,” J. Phys. Conf. Ser., vol. 1573, no. 1, 2020, doi: 10.1088/1742-6596/1573/1/012038.
[5] T. Mohammadehsan, Y. Noordin Mohd, M. Azanizawati, and M. S. Awaluddin, “Identifying sustainable warehouse management system indicators and proposing new weighting method,” J. Clean. Prod., vol. 248, 2020, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0959652619340600
[6] F. Bernardini et al., “Robot-Based Indoor Positioning of UHF-RFID Tags: The SAR Method with Multiple Trajectories,” IEEE Trans. Instrum. Meas., vol. 70, 2021, doi: 10.1109/TIM.2020.3033728.
[7] N. Mostafa, W. Hamdy, and H. Elawady, “An Intelligent Warehouse Management System Using the Internet of Things,” Egypt. Int. J. Eng. Sci. Technol., vol. 32, no. Mechanical Engineering, pp. 59–65, 2020, doi: 10.21608/eijest.2020.42338.1009.
[8] 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, doi: 10.3390/machines10020150.
[9] H. K. H. Chow, K. L. Choy, and W. B. Lee, “Design of a RFID-based resource management system for warehouse operation,” in 2005 3rd IEEE International Conference on Industrial Informatics, INDIN, 2005, pp. 785–790. doi: 10.1109/INDIN.2005.1560473.
[10] T. C. Poon, K. L. Choy, H. K. H. Chow, H. C. W. Lau, F. T. S. Chan, and K. C. Ho, “A RFID case-based logistics resource management system for managing order-picking operations in warehouses,” Expert Syst. Appl., vol. 36, no. 4, pp. 8277–8301, 2009, doi: 10.1016/j.eswa.2008.10.011.
[11] L. C.K.M., L. Yaqiong, N. K.K.H., H. William, and C. K.L., “Design and application of Internet of things-based warehouse management system for smart logistics,” Int. J. Prod. Res., vol. 56, no. 8, pp. 2753–2768, 2018.
[12] S. F. Pane, R. M. Awangga, and B. R. Azhari, “Qualitative evaluation of RFID implementation on warehouse management system,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 3, pp. 1303–1308, 2018, doi: 10.12928/TELKOMNIKA.v16i3.8400.
[13] S. Yerpude, “SMART Warehouse with Internet of Things supported Inventory Management System,” Int. J. Pure Appl. Math., vol. 118, no. 24, pp. 1–15, 2018.
[14] M. Rashid, S. M. A. Ahad, S. Siddique, and T. Motahar, “Smart warehouse management system with RFID and cloud database,” in 2019 Joint 8th International Conference on Informatics, Electronics and Vision, ICIEV 2019 and 3rd International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2019 with International Conference on Activity and Behavior Computing, ABC 2019, 2019, pp. 218–222. doi: 10.1109/ICIEV.2019.8858546.
[15] “The design of future things,” Choice Rev. Online, vol. 45, no. 10, pp. 45-5382-45–5382, 2008, doi: 10.5860/choice.45-5382.
[16] C. Mueller-Roterberg, “Handbook Of Design Thinking-Tips & Tools For How To Design Thinking,” no. November, pp. 1–228, 2018, [Online]. Available: https://www.amazon.com/Handbook-Design-Thinking-design-thinking-ebook/dp/B07KYM631Q
[17] G. N. Nedeltcheva and E. Shoikova, “Coupling design thinking, user experience design and agile: Towards cooperation framework,” ACM Int. Conf. Proceeding Ser., pp. 225–229, 2017, doi: 10.1145/3175684.3175711.
[18] H. G. Daellenbach and D. C. Mcnickle, “Management Science: Decision Making Through Systems Thinking,” Palgrave Macmillan, vol. 1, p. 615, 2005.
[19] N. Andiyappillai, “Factors Influencing the Successful Implementation of the Warehouse Management System (WMS),” Int. J. Comput. Appl., vol. 177, no. 32, pp. 21–25, 2020, doi: 10.5120/ijca2020919787.