Industry 4.0 is the latest revolution in manufacturing. It entails the marriage of computers, data, and automation so factories can self-correct and (the idea is) to eventually run themselves. If you are new to the idea of Industry 4.0, we wanted to give you some keywords that you may come across in your readings.
Glossary of Terms:
1. Smart factory: This and the related term ‘factory of the future’ exemplify the technical innovations under Industry 4.0 such as the integration of information and communications technology in the production process.
- They collect factory data and use analytics accessing big data sources to get insights of what is happening and how to increase margins or efficiency
- They use AI and machine learning to generate incredibly detailed models that can more accurately predict real-world results than traditional models.
- They use Industrial IoT equipment and connected sensors in processing equipment to provide continuous information on internal machine conditions such as temperatures, pressures or gas flows. These enable real-time insights that are available at the moment they are most useful to aid in making critical business decisions. Gartner estimates that, by 2020, there will be 50 billion connected devices. Most of these are used in the manufacturing industry.
2. Advanced manufacturing: Another term often cited in the literature to describe innovations in technology improving products or processes.
3. Virtual Factory: A virtual factory is an accurate model for all of the physical processes in a factory, produced by machine learning analyzing the data that comes from machines, processes, and product data. Often cited as a Digital Twin of the factory and used to test the factory capability before manufacturing a new product.
4. Virtual Equipment Models: Combining equipment sensor data with information about when machines have failed in the past allows us to predict when machines will require maintenance so we can intervene before they fail.
5. Virtual Metrology Models: Combining equipment sensor data with process measurement results allows us to build virtual metrology models so that actual physical measurements can be reduced or eliminated.
6. Virtual Product Models: Combining equipment sensor and process measurement data with product quality data allows us to predict key product characteristics for each unit based on all the equipment and process conditions they have experienced throughout the entire manufacturing process.
7. Cyber-Physical Systems: Are made up of software embedded in hardware such as sensors, processors, and communication technologies that facilitate humans and machines working together to make the best possible decisions
8. Industrial Internet: the industrial and the internet revolutions come together. The difference here is that unlike Industry 4.0, the Industrial Internet goes beyond manufacturing to cover the wider adoption of the web into other forms of economic activity.
The manufacturing market is changing. There are more options for consumers which makes it difficult for producers to differentiate. Shorter product life cycles require manufacturing practices to constantly change and update to keep up with the demand. Products that are going to market are becoming more complicated, requiring more aspects of the business to be working together to succeed. There are many critical factors at play that TIBCO can help you implement to succeed.
All of the top 10 manufacturing semiconductor providers use TIBCO including Samsung Electronics, Intel, Taiwan Semiconductor, Qualcomm, SK Hynix, Texas Instruments, Micron Technology, Applied Materials, ASML, Broadcom. They use TIBCO in all the important use case areas of smart manufacturing including manufacturing operations, product & process quality, real-time monitoring, and many others. We have lots of tools to help you apply smart manufacturing models to your factory in days instead of months, or years!