Author(s)

Hui Zhou ¹

Affiliation(s)

¹ Wuhan Business University, Wuhan, China

Corresponding Author

Hui Zhou

ABSTRACT

With the sustained advance and expand of science and technology, the internet is gradually entering people's daily life. The IOT based on the internet has been widely used in various fields of society, among which the intelligent storage system for logistics management has played an important role. The Internet of Things technology, as an important driving force in the information age, connects things through sensors, RFID tags, QR codes, GPS and other devices to achieve real-time information collection and exchange, greatly improving the intelligence level of warehouse management. In the field of warehousing, IoT technology not only optimizes inventory control, but also strengthens cargo tracking and asset management capabilities. This paper briefly introduces the key technology of the utilization of IOT technology in warehouse management, and analyzes and discusses the utilization of IOT technology in each module of warehouse management system in detail. Through this paper, it can offer practical support for the combined growth of China's warehouse management system and IOT technology.

KEYWORDS

Internet of Things Technology, Radio Frequency Identification Technology, Warehouse Management

CITE THIS PAPER

Hui Zhou, Application of Internet of Things Technology in Intelligent Warehouse Management. Industrial Engineering and Innovation Management (2024) Vol. 7: 71-77. DOI: http://dx.doi.org/10.23977/ieim.2024.070211.

REFERENCES

[1] Abderahman Rejeb, Steve Simske, Karim Rejeb Horst Treiblmaier, Suhaiza Zailani. Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, Volume 12, December 2020, 100318.
[2] Hêriş Golpîra, Syed Abdul Rehman Khan, Sina Safaeipour. A review of logistics Internet-of-Things: Current trends and scope for future research. Journal of Industrial Information Integration, Volume 22, June 2021, 100194.
[3] Abhishek Singh, Ashish Payal, Sourabh Bharti. A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues. Journal of Network and Computer Applications, Volume 143, 1 October 2019, Pages 111-151.
[4] Chunling Sun. Application of RFID Technology for Logistics on Internet of Things. AASRI Procedia, Volume 1, 2012, Pages 106-111.
[5] B. Sai Subrahmanya, Tejesh S. Neeraja. Warehouse inventory management system using IoT and open source framework. Alexandria Engineering Journal, Volume 57, Issue 4, December 2018, Pages 3817-3823.
[6] Eric K. H Leung, Carmen Kar, Hang Le, Zhiyuan Ouyang. From traditional warehouses to Physical Internet hubs: A digital twin-based inbound synchronization framework for PI-order management. International Journal of Production Economics, Volume 244, February 2022, 108353.
[7] T. Babua, H. Roopa, Arvind Kumar Shukla, D. Stalin David, S. Jayadatta, A. S. Rajesh. Internet of things-based automation design and organizational innovation of manufacturing enterprises. Materials Today: Proceedings, Available online 26 November 2021, In Press.
[8] Kamalendu Pal, Ansar-Ul-Haque Yasar. Internet of Things and Blockchain Technology in Apparel Manufacturing Supply Chain Data Management. Procedia Computer Science, Volume 170, 2020, Pages 450-457.
[9] Ning Lei. Intelligent logistics scheduling model and algorithm based on Internet of Things technology. Alexandria Engineering Journal, Volume 61, Issue 1, January 2022, Pages 893-903.
[10] Yuan Guo, Nan Wang, Zeyin Xu, Kai Wu. The internet of things-based decision support system for information processing in intelligent manufacturing using data mining technology. Mechanical Systems and Signal Processing, Volume 142, August 2020, 106630.

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics