Efficient RFID Data Cleaning in Supply Chain Management

Abstract

SUMMARYDespite the improvement of the accuracy of RFID readers, there are still erroneous readings such as missed reads and ghost reads. In this letter, we propose two effective models, a Bayesian inference-based decision model and a path-based detection model, to increase the accuracy of RFID data cleaning in RFID based supply chain management. In addition, the maximum entropy model is introduced for determining the value of sliding window size. Experiment results validate the performance of the proposed method and show that it is able to clean raw RFID data with a higher accuracy.

Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

“…It's also adopted by Mainetti Luca and Mele Francesca et al [6] to settle the problem of vegetable supply chain monitoring. Fan Hua and Wu Quanyuan et al [7] studied the misreading problem of RFID technology to improve the accuracy of RFID data. Fan Hua and Wu Quanyuan et al [8] analyzed the RFID data storage problems.…”