"Plant and process manufacturing facilities are at the intersection of the asset lifecycle and value chain and as a result, are the primary focus of Digital Twin activity. However, a company must first clearly understand what a Digital Twin is, and what it is not, before it can align its Digital Twin program with corporate financial objectives."
- Joe Perino, Research Analyst
Digital Twins are found throughout the asset lifecycle, from design and engineering to operations, and across the value chain from demand forecasting to planning and scheduling to distribution.
To maximize results, manufacturers must first understand the different types of twins, their construction, their challenges and limitations, and what’s needed from vendors. Once an organization clearly recognizes the nuances of these elements, it can align its twin program with financial objectives.
Read this research spotlight to better understand the internal workings of Digital Twins with focus on:
- Data sources
- Data conditioning
- Data stores and context
- Models and analytics