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Blockchained supply chain management based on IoT tracking and machine learning.

Zhongping Dong1, Wei Liang1, Yan Liang1

  • 1China Telecom Research Institute, Beijing, China.

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|January 4, 2023
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Summary
This summary is machine-generated.

This study integrates blockchain and machine learning for secure and automated 6G Internet of Things (IoT) supply chains. The proposed multi-head attention-based GRU model enhances inbound logistics prediction accuracy and efficiency.

Keywords:
Big dataBlockchainGRUInternet of things (IoT)Machine learning (ML)Multi-head attentionSupply chains

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Area of Science:

  • Supply Chain Management
  • Information Technology
  • Artificial Intelligence

Background:

  • Modern supply chains require robust security and automation.
  • 6G Internet of Things (IoT) is crucial for efficient supply chain operations.
  • Blockchain and machine learning offer solutions for IoT security and automation.

Purpose of the Study:

  • To propose blockchain for enhanced collaboration in supply chains.
  • To adopt a multi-head attention (MHA)-based gated recurrent unit (GRU) for inbound logistics task prediction.
  • To evaluate the performance of the MHA-GRU model against existing methods.

Main Methods:

  • Utilizing blockchain technology to facilitate secure and efficient collaboration among supply chain partners.
  • Implementing a gated recurrent unit (GRU) model enhanced with multi-head attention (MHA) for predictive analytics in inbound logistics.
  • Conducting numerical analyses to compare the proposed MHA-GRU model with alternative approaches.

Main Results:

  • The proposed blockchain solution improves collaboration efficiency in supply chains.
  • The multi-head attention-based GRU model demonstrates superior performance in inbound logistics task prediction.
  • Numerical results confirm the enhanced fitting efficiency and prediction accuracy of the MHA-GRU model.

Conclusions:

  • Blockchain integration enhances supply chain collaboration and security.
  • The MHA-GRU model offers a significant advancement in inbound logistics prediction accuracy.
  • The combined approach of blockchain and advanced machine learning, specifically MHA-GRU, is highly effective for modern 6G IoT supply chains.