- Embedded sensors and controllers, remotely networked via Wi-Fi or RFID, monitor and regulate function, optimize factory workflow, or even anticipate changes in operating conditions, augmenting human assembly workers’ skills while ensuring a higher output with even better quality control.
- Applicable assembly-line robotics operated via machine-learning algorithms, deliver high precision with minimal human oversight.
- Data-driven manufacturing, incorporating big data and cloud-based applications to process, analyze, and visualize data throughout design and production, including extended failure analysis, facilitating stronger decision-making by management.
- Real-time coordination with supply chains ensures materials are always available in necessary quantities, eliminating shortages or surpluses that affect the bottom line.
Industrial 4.0 Incorporates Specialized IIoT Applications
The next generation of manufacturing automation has been coined as the 4th industrial revolution or Industry 4.0. Many of these advances in manufacturing revolve around the industrial Internet of things (IIoT). An offshoot of the internet of things (IoT) we already read about every day, home consumer products, such as smart TVs, thermostats, etc. IIoT will enable the creation of new business models by improving productivity, exploiting analytics for innovation, and transforming the workforce. The potential of growth by implementing IIoT is predicted to generate $15T of global GDP by 2030. Many different technologies enable the IIoT: cyber-physical systems (CPS), cloud-computing IT, big data analysis, artificial intelligence, and machine learning.  CPS is the basic platform for IoT and IIoT and connects physical machines that were once disconnected. It integrates the dynamics of the physical process with those of software and communication. Cloud computing IT services deliver the resources that are retrieved from the internet; files can be kept on cloud-based storage systems instead of on local storage devices for quick access and security. Big data analytics is the process of reviewing large, varied data sets. Artificial intelligence (AI) is a technology that creates machines that function and react like humans. Machine learning is the main part of AI, which allows the software to become more accurate with predicting outcomes without being programmed.  Industrial 4.0 IIoT Applications