Digital Twin Self-Assessment

BETA version released for widespread distribution to manufacturers

Digital transformation is now understood to occur in cycles of business transformation that leverage digital technology. Business value cycles involve repeating iterations of gaining insights, for example through digital twins, performing actions through business processes, and improving outcomes, either operational or financial or both. 

However, gaining consensus on what digital twins are particularly suitable for a specific context can be challenging, and very few organizations have a framework to follow in identifying and executing such projects.

For this reason, a Digital Twin Self-Assessment framework and assessment tool was recently developed by the International Academy of Automation Engineering and MIT, along with other project partners including Manufacturing USA institute MxD and Horizon Controls Group. This was performed under U.S. CARES Act funding for the primary benefit of manufacturers within the U.S. Pharmaceutical Industry (including Medical Device manufacturers). 

This framework was designed for a specific industry deployment that has been ongoing but was developed with a view to being shared freely across industry for the benefit of the manufacturing base. The intent is that those who use this tool can better understand the typical steps recommended to design, implement, and test digital twin solutions, but also how to follow steps in a unique manufacturing context, starting and ending with the careful framing and measurement of business value.

If you find the framework and tool valuable, or have suggestions on how it can be improved for a second release later this year, please share your feedback using the survey link at the end of the PDF.