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Processing uncertain RFID data in traceability supply chains.

Dong Xie1, Jie Xiao2, Guangjun Guo3

  • 1Department of Information Science and Engineering, Hunan Institute of Humanities, Science and Technology, Loudi 417000, China.

Thescientificworldjournal
|April 17, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework to efficiently process uncertain Radio Frequency Identification (RFID) data for supply chain traceability. The approach improves data accuracy and query performance for tracking objects.

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Area of Science:

  • Supply Chain Management
  • Data Science
  • Information Technology

Background:

  • Radio Frequency Identification (RFID) is crucial for supply chain traceability.
  • Massive uncertain data from RFID readers hinders efficient system application.
  • Existing methods struggle with the volume and uncertainty of RFID data.

Purpose of the Study:

  • To propose a novel framework for processing uncertain RFID data.
  • To enhance the efficiency and effectiveness of RFID application systems.
  • To support diverse tracking and tracing queries in supply chains.

Main Methods:

  • Analyzing key features of RFID objects.
  • Adjusting smoothing windows and employing strategies for uncertain readings.
  • Distinguishing ghost, missing, and incomplete data based on position.
  • Proposing a comprehensive data model and a path coding scheme for data compression.
  • Developing processing algorithms for group and independent objects.

Main Results:

  • The proposed framework effectively processes uncertain RFID data.
  • The path coding scheme significantly compresses massive RFID data.
  • The approach demonstrates effectiveness and efficiency in traceability queries.
  • Experimental evaluations validate the proposed methods.

Conclusions:

  • The developed framework offers an effective and efficient solution for uncertain RFID data processing.
  • The methods improve data compression and query performance for supply chain traceability.
  • This work provides a robust approach for handling complex RFID data scenarios.