Abstract
We all know that in today’s highly competitive world, everything has been developed by some technologies like IOT, digital, cloud, sensors, etc. Nowadays warehouses and inventories are facing so many problems like huge amount of human’s involvement in work and manual errors (or) human errors, and lot of workers are required for controlling or managing the process. May be sometimes human could make errors, but machines never could make errors. So that we are presenting a new idea which is movable bar code scanner using IOT (industry automation and smart glasses) for reducing the problems in warehouses and inventories. It can make the industry foster (advance), quick, efficient, and better digitalized.
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S. Jayanth, M.B. Poorvi, M.P. Sunil, Inventory management system using IOT, in Proceedings of the First International Conference on Computational Intelligence and Informatics. Advances in Intelligent Systems and Computing, ed. by S. Satapathy, V. Prasad, B. Rani, S. Udgata, K. Raju, vol. 507, (Springer, Singapore, 2017), pp. 1–6
M.N. Abdelkrim, E. Bajic, A. Zouinkhi, H. Chekir, S. Trab, IoT-based risk monitoring system for safety management in warehouses. Int. J. Inform. Commun. Technol. 13, 424–425 (2018)
M. Riad, A. Elgammal, D. Elzanfaly, Efficient management of perishable inventory by utilizing IoT, in 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (IEEE, Stuttgart, 2018
E & S diversified Homepage. http://eandsdiversified.com/, last accessed 2018/11/21
P.R. Wurman, R. D’Andrea, M. Mountz, Coordinating hundreds of cooperative, autonomous vehicles in warehouses. AI Magazine 29(1), 9–10 (2008)
Y. Song, D. Han, Exception specification and handling in workflow systems, in Proceedings of the 5th Asia-Pacific Web Conference on Web Technologies and Applications (Springer, Xian, 2003), pp. 495–506
E. Lee, K. Farahmand, Simulation of a base stock inventory management system integrated with transportation strategies of a logistics network, in Proceedings of the 2010 Winter Simulation Conference (IEEE, 2010), pp. 1934–1945
O. Jukic, I. Hedi, Inventory management system for water supply network, MIPRO, Opatija, Croatia, 26–30 May 2014
Z. Li, L. Jialing, Supply chain management, vol 3 (China Central Radio and TV University Press, Beijing, 2006), pp. 129–132
D. Long-gang, Based on RFID, Wi-Fi, Bluetooth, ZigBee of things of electromagnetic compatibility and interference coordination. Internet Things Technol. 1, 59–61 (2011)
M.K. Lim, W. Bahr, S.C.H. Leung, RFID in the warehouse: a literature analysis (1995–2010) of its applications, benefits, challenges and future trends. Int. J. Prod. Res. 145, 409–430 (2013)
M. Karkkainen, Increasing efficiency in the supply chain for short shelf life goods using RFID tagging. Int. J. Retail Distrib. Manag. 31, 529–536 (2003)
Y. She, R. Ehsani, J. Robbins, J. Qwen, J.N. Levia, Applications of small UAV systems for tree and nursery inventory management, in 13th International Conference on Precision Agriculture, St. Louis, USA, 2016
J.H. Ong, A. Sanchez, V. Williams. Multi-UAV system for inventory automation, in 1st Annual RFID Eurasia, Istanbul, Turkey (IEEE Press, 2007), pp. 1–6
A. Buffi, P. Nepa, R. Cioni, SARFID on drone: drone-based UHF-RFID tag localization, in 2017 IEEE International Conference on RFID Technology & Application (RFID-TA), Warsaw, Poland (IEEE Press, 2017), pp. 40–44
F.J. Valente, A.C. Neto, Intelligent steel inventory tracking with IoT/RFID, in 2017 IEEE International Conference on RFID Technology & Application (RFID-TA), Warsaw, Poland (IEEE Press, 2017), pp. 158–163
D. Roy, A. Krishnamurthy, S.S. Heragu, C.J. Malmborg, Blocking effects in warehouse systems with autonomous vehicles. IEEE Trans. Automat. Sci. Eng. 11, 439–451 (2014)
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Vamsi, A.M., Deepalakshmi, P., Nagaraj, P., Awasthi, A., Raj, A. (2020). IOT Based Autonomous Inventory Management for Warehouses. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C. (eds) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-19562-5_37
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DOI: https://doi.org/10.1007/978-3-030-19562-5_37
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