INDUSTRY 4.0

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Created by
Kyla Saizon

Cards (11)

  • Industry 4.0

    • fourth industrial revolution
    • ongoing transformation of traditional manufacturing and industrial processes through the integration of digital technologies.
    • represents a paradigm shift in the way products are designed, produced, and delivered.
    • characterized by the fusion of physical systems with digital technologies, data analytics, and advanced automation.
  • Key elements of Industry 4.0

    1. Internet of Things (IoT)
    2. Big Data and Analytics
    3. Artificial Intelligence (AI) and Machine Learning
    4. Advanced Robotics
    5. Additive Manufacturing (3D Printing)
    6. Cyber-Physical Systems (CPS)
    7. Cloud Computing
    8. Augmented Reality (AR) and Virtual Reality (VR)
  • Internet of Things (IoT)

    • connection of physical devices and equipment to the internet.
    • allowing for real-time data collection, monitoring, and control of manufacturing processes.
  • Big Data and Analytics

    • leverages big data analytics to analyze large volumes of data generated by interconnected systems.
    • enabling predictive maintenance, optimization of production processes, and informed decision-making.
  • Artificial Intelligence (AI) and Machine Learning

    • These algorithms are used to automate tasks, optimize production schedules, detect anomalies, and improve product quality.
  • Advanced Robotics

    • Robotics and automation technologies are increasingly integrated into manufacturing processes to enhance productivity, efficiency, and flexibility.
    • Collaborative robots (cobots) work alongside human workers, performing repetitive or dangerous tasks.
  • Additive Manufacturing (3D Printing)

    • enable the production of complex parts and components with greater design flexibility and reduced lead times.
    • revolutionizing prototyping, customization, and small-batch production.
  • Cyber-Physical Systems (CPS)

    • combines physical components with digital technologies to create smart systems capable of sensing, analyzing, and responding to changes in the manufacturing environment in real time.
  • Cloud Computing

    • provide scalable storage, computing power, and software-as-a-service (SaaS) platforms for managing and analyzing manufacturing data, facilitating data collaboration, and enabling remote monitoring and control of industrial operations.
  • Augmented Reality (AR) and Virtual Reality (VR)

    • used for training, maintenance, and visualization purposes, enabling workers to interact with digital information overlaid onto the physical environment.
  • Industry 4.0 represents a transformative shift towards interconnected, data-driven, and intelligent manufacturing systems, with the potential to drive efficiency, innovation, and competitiveness across industries