The chapter discusses the transformation from the more advanced Industry 4.0 to the most recent Industry 5.0 and how it is done through Smart Manufacturing. This chapter discusses the transition from Industry 4.0 to the emerging paradigm of Industry 5.0 through the lens of Smart Manufacturing. Initially, it points out the modern technologies that form the factory of the twenty-first century, which are IIoT, robotics, cloud and edge computing, blockchain, digital twins, and additive manufacturing. These devices are the technical basis for the super-high connected and adaptive production systems. The discussion then addresses two examples, cable assembly and electroplating, which are case studies in the paper used to analyze for managing the industrial quality and data in reality. RFID, 5G, and a machine protocol, MQTT, for serial interfacing are mentioned as important enabling technologies of the real-time monitoring system, together with the term (Overall Equipment Effectiveness) OEE for performance tracking. The chapter also elaborates on the sort of data a smart factory generates, including sensor telemetry, machine logs, and human-machine interactions, and goes further to expound the difficulties and possibilities for analysis. The chapter then emphasizes that human feedback and the practice of Continuous Improvement are the main drivers of aligning complex systems with reality. All of the above show that Industry 5.0 keeps the digital gains of Industry 4.0 by combining efficiency with resilience, sustainability, and a renewed focus on human expertise.

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Smart Manufacturing and Industry 5.0: Adding the Human Edge to Industry 4.0

  • M. Orabi,
  • S. Thomassey,
  • K. P. Tran

摘要

The chapter discusses the transformation from the more advanced Industry 4.0 to the most recent Industry 5.0 and how it is done through Smart Manufacturing. This chapter discusses the transition from Industry 4.0 to the emerging paradigm of Industry 5.0 through the lens of Smart Manufacturing. Initially, it points out the modern technologies that form the factory of the twenty-first century, which are IIoT, robotics, cloud and edge computing, blockchain, digital twins, and additive manufacturing. These devices are the technical basis for the super-high connected and adaptive production systems. The discussion then addresses two examples, cable assembly and electroplating, which are case studies in the paper used to analyze for managing the industrial quality and data in reality. RFID, 5G, and a machine protocol, MQTT, for serial interfacing are mentioned as important enabling technologies of the real-time monitoring system, together with the term (Overall Equipment Effectiveness) OEE for performance tracking. The chapter also elaborates on the sort of data a smart factory generates, including sensor telemetry, machine logs, and human-machine interactions, and goes further to expound the difficulties and possibilities for analysis. The chapter then emphasizes that human feedback and the practice of Continuous Improvement are the main drivers of aligning complex systems with reality. All of the above show that Industry 5.0 keeps the digital gains of Industry 4.0 by combining efficiency with resilience, sustainability, and a renewed focus on human expertise.