Blockchained supply chain management based on IoT tracking and machine learning
Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao, Yi Lü
Abstract
When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts.
Topics & Concepts
Computer scienceInternet of ThingsTracking (education)Supply chainChain (unit)Supply chain managementArtificial intelligenceReal-time computingEmbedded systemPhysicsPsychologyLawPolitical scienceAstronomyPedagogyBlockchain Technology Applications and SecurityEconomic and Technological Systems AnalysisCurrency Recognition and Detection