Digital Twin

To overcome the vast challenges and meet ambitious goals for the future, manufacturers must be operating at the highest level of performance. Unfortunately, however, not every company is configured to achieve its full performance potential. Is yours?

Using paperless work instructions, no matter how clear they may be, will always benefit from having the opportunity to interact in three dimensions with the assembly that you are making.

Acquiring data from the entire factory is just the first step towards improving the manufacturing process using digital solutions. What you do with the data is much more important than merely having it, creating dashboards, performing machine learning, and analyzing it. The real IIoT-based MES digital twin for manufacturing has arrived.

Any piece of manufacturing software has within it, an element of a digital twin. This has always been the case, as computer applications by definition, work with data that represents physical things or events, using the data to perform tasks which after computation, influence the physical world. The limitation of any digital twin solution in the market therefore, is exactly the same as for a computerized solution. The better the data, the better the capability and the result.

The promise of the benefits that can be reaped from big data and predictive analytics through access to machine and operator data is compelling enough for most manufacturers to seriously direct their IT and OT departments to look into ways to enable such machine and operator data acquisition.

Eliminating paper in manufacturing, also known as the Smart Factory or Industry 4.0, is just the first step of the digital revolution.

What is a Digital Twin and how are manufacturers leveraging this concept to drive efficiency in an Industry 4.0 environment? SCOOP Founder Phil Stoten interviews Oren Manor, Director at Mentor, and Jason Spera, CEO of Aegis Software.