STUDY OF SMART INVENTORY MANAGEMENT SYSTEM BASED ON THE INTERNET OF THINGS (IOT)
Abstract
In developing enterprises and the constant demands of the product diversity, traditional Inventory Management model can’t achieve that, due to its heavy workload and low efficiency. This paper presents a new type of intelligent Inventory Management System based on the IoT and explains the principles and structure of it. This system has great advantages compared to the traditional mode, and we expect good prospects for its development. Inventory Management is a key area for customer service and cost optimization in any manufacturing setup. As companies turn global and have thousands of components and hundreds of warehouses the inventory becomes a nightmare and a lot of time is spend in tracking inventory and ensuring right shipments. Traditional systems of robotic arms for inventory pick and drop have been based on premises of marking areas of the warehouse and tracking it.
Keywords:
Inventory Management System, RFID, Supply Chain Management, IoT, Inventory OptimizationDownloads
References
Gubbi, J., Buyya, R., Marusic, S. & Palaniswami, S. (2013). Internet of Things (IoT): A Vision Architectural Elements and Future Directions. Future Generation Computer System, 29(7), pp 1645–1660.
Huynh, S.M., Parry, D. & Fong, A.C.M. & Tang, J. (2014). Novel RFID and Ontology based Home Localization System for Misplaced Objects. IEEE Transactions on Consumer Electronics, 60(3), pp 402-410.
Huynh, S.M., Parry, D., Fong, A. & Tang, J. (2014). Home Localization System for Misplaced Objects, In Proc. IEEE International Conference on Consumer Electronics, 10th- 13th January, IEEE, pp 462-463. Retrieved From: https://ieeexplore.ieee.org/document/6776087
Ibrahim, A. & Ibrahim, D. (2010) Real-time GPS based outdoor WiFi localization system with map display. Advances in Engineering Software, 41(9), pp 1080–1086.
Kodali, R.K., Jain, V., Bose, S. & Boppana, L. (2016). IoT Based Smart Security and Home Automation System. International Conference on Computing, Communication and Automation. 29th-30th April, IEEE, pp. 1286-1289. Retrieved From: file:///C:/Users/LUC/Downloads/07813916_ICCCA2016_IoT_Home_Automation.pdf
Kumar, M.G. & Roy, K.S. (2014). Zigbee Based Indoor Campus Inventory Tracking Using RFID Module. International Journal of Engineering Research and Applications, 4(7), pp 132-136.
Lin, G. (2012). Research on Complex Event of Supply Chain Decision Support Based on Internet of Things. Retrieved From: https://www.scirp.org/(S(vtj3fa45qm1ean45vvffcz55))/reference/ReferencesPapers.aspx?Ref erenceID=1370871
Shen, S.B., Fang, Q.L. & Zong, P. (2009). Research of Internet of Things and Related Technology. Journal of Nanjing University of Posts and Telecommunications (Natural Science), 6, pp 1-11.
Tesoriero, R., Gallud, J.A., Lozano, M.D. & Penichet, V.M.R. (2009). Tracking Autonomous Entities Using RFID Technology. IEEE Transactions on Consumer Electronics, 55(2), pp 650-655.
Wang, F.Q. (2012). Research New Type of Supply Chain Management Model Based on the Technology of Internet of Things—With Radio Frequency Identification (RFID) Technology as an Example.
Want, R. (2006). An Introduction to RFID Technology. IEEE Pervasive Computing, 5(1), pp 25-33.
Ziegler, J., Graube, M. & Urbas, L. (2012). RFID as Universal Entry Point to Linked Data Clouds, in: Proc. IEEE International Conference on RFID-Technologies and Applications, 5th-7th November, IEEE. Retrieved From: https://ieeexplore.ieee.org/document/6404530.
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