Frameworks of Industry 4.0 PDF

**General framework (Pillars) of Industry 4.0** 1. **Big data/advanced** **analytics**: The industrial world is filled with mountains of unanalysed product and process data. Analysing it and turning it into actionable information can optimise production quality, improve services, and e...

**General framework (Pillars) of Industry 4.0** 1. **Big data/advanced** **analytics**: The industrial world is filled with mountains of unanalysed product and process data. Analysing it and turning it into actionable information can optimise production quality, improve services, and enable faster and more accurate decision making. 2. **Advanced robotics** --- As robots become more flexible, cooperative, and autonomous, they will interact with one another, work safely with humans, and eventually learn from humans, too. Industry 4.0 provides a manufacturing context for these opportunities. 3. **Advanced simulations** --- In Industry 4.0 environments, 3D simulation of product development, material development, and production processes will enable operators to test and optimise processes for products before production starts 4. **AI/cognitive computing** --- Cognitive manufacturing uses the assets and capabilities of the IoT, advanced data analytics, and cognitive technologies such as AI and machine learning. When used together these technologies will drive improvements in the quality, efficiency, and reliability of manufacturing processes 5. **Industrial Internet of Things** --- In the IIoT, an ever-greater number of products will incorporate internet-connected devices, which link with each other with standard protocols. This approach to manufacturing will decentralise analytics and decisionmaking and enable real-time responses. 6. **Cyber security** --- Industry 4.0 environments include connectivity and communications protocols as well as sophisticated identity and access management systems. These technologies enable manufacturers to provide secure, reliable communications and data flow throughout Industry 4.0 systems. 7. **Additive Manufacturing** --- In Industry 4.0 manufacturing environments, these technologies are the best choice for producing small-batch, customised, and highperformance products. 8. **Cloud-based service-enabling technologies** --- Industry 4.0 manufacturing operations require more data sharing across sites and companies than earlier processes do. Shifting data storage and management to the cloud will drive the development of more manufacturing execution systems (MESs) that use cloud-based machine data. 9. **Augmented reality ---** AR provides an effective way to represent production processes by overlaying real-world views of production with virtual information. In ASEAN countries, the most likely role of AR lies in training future workers and technicians how production systems behave in real-time