- Industrial Internet of Things:
IIoT is when interconnectivity and collaboration of data, machine, and people in the world manufacturing. Every aspect of the manufacturing operation can be connected in the IIoT, and the data it creates can be leverages into optimizing efficiencies across the manufacturing operation.
The ultimate goal of a connected factory is to maximize the efficiency, therefore maximizing profits. To achieve that, automation must be adopted into some or all of the manufacturing processes.
- Artificial Intelligence:
Artificial Intelligence and its subset machine learning are practically a requirement for an Industry 4.0-enabled a smart factory. AI can use the data generated from the connected factory to optimize machinery, reprogram workflows to drive efficiencies and ultimately revenue.
- Big date & Analytics
Big data analytics systems can utilize machine learning and AI technologies to quickly process data and give decision makes the information they need to make improvements across and entire manufacturing operation
- The cloud:
Cloud usage allows for a single source of truth and data sharing across company, At lightning speed. It also allows for remote access and monitoring of all data and machine operating systems, giving great visibility into operations and efficiencies.
- Cyber security
Because every touch point in the manufacturing operation is connected and digitized in industry4.0, there is an extra need for robust cyber security. Manufacturing machinery, computer systems, data analytics, the cloud, and any other system connected via IoT should be processed.
Having the ability to forecast outcomes is one of the biggest game changers in the age of industry4.0 and manufacturing. With today’s advance simulation models powered by the IoT data and IoT data and AI, manufacturing operations can optimize machinery for their next product run, thereby saving time and money.