A Method for Enhancing Inventory Efficiency of Densely Stacked Tags in RFID Cabinets.

Area of Science:

• Computer Science
• Electrical Engineering
• Supply Chain Management

Background:

• Radio Frequency Identification (RFID) systems are crucial for inventory management.
• Efficiently inventorying densely stacked tags in RFID cabinets presents a significant challenge.
• Existing methods may suffer from redundant tag identification, impacting efficiency.

Purpose of the Study:

• To propose a novel algorithm for enhancing RFID tag inventory efficiency in stacked environments.
• To address the issue of repeated tag inventory by multiple interrogator antennas.
• To improve overall tag inventory management performance.

Main Methods:

• Development of a novel algorithm utilizing flexible inventoried flag settings.
• Implementation of the algorithm within an RFID cabinet system.
• Conducting comprehensive experiments to validate the algorithm's effectiveness.

Main Results:

• The proposed algorithm achieved 100% inventory accuracy for 560 stacked tags.
• Inventory time was reduced by 40% compared to baseline methods.
• Demonstrated significant enhancement in RFID tag inventory management efficiency.

Conclusions:

• The novel algorithm effectively enhances RFID tag inventory efficiency in densely stacked cabinets.
• Flexible inventoried flag settings prevent redundant tag interrogations.
• The method offers a practical solution for optimizing inventory processes.