Stock Monitoring and Localization Systems for FIFO Method Using RFID Based Pressure Sensing Tag and AI
This research introduces real-time monitoring and localizing product stock using the First-In-First-Out (FIFO) method with radio frequency identification (RFID) pressure sensing tags. The proposed FIFO system has RFID pressure sensing tags that detect pressure changes, generate sensor codes, and estimate a stock location. Integrating artificial intelligence (AI) improves location estimation accuracy of up-to-date stock visibility. The ability of RFID pressure sensing tags and AI to detect stock from sensor code data enables more effective asset management, optimizes stock management, reduces product waste, and contributes to better efficiency in product inventory management.
Authors
- Shigeki Takeda (ORCID: https://orcid.org/0000-0002-4404-3817)
- Ran Sun (ORCID: https://orcid.org/0000-0003-4649-7051)
- Zequn Song
- Danang Kumara Hadi
- Budi Rahmadya (ORCID: https://orcid.org/0000-0003-0719-9254)
Institutions
- Muhammadiyah University of Makassar (ID)
- Universitas Muhammadiyah Jember (ID)
- Andalas University (ID)
- Ibaraki University (JP)
Publication Details
- Journal
- IEEJ Transactions on Electronics Information and Systems
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1541/ieejeiss.144.894
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 0.00