Connecting Digital Transformation with PLM
Listen to the PLM Quick 30 podcast to hear first-hand uncover the three pillars necessary to bring a simulated digital twin to reality as part of digital transformation. Below are some excerpts from the conversation between Ansys expert, Craig Miller, PhD, and Patrick Sullivan from ArcherGrey.
The Digital Twin
Patrick: Can you explain how you got to be the point person for the digital twin simulation based digital twin at ANSYS?
Dr. Miller: Sure. So there’s a team really focused on the platform and part of that is the digital twin. Myself, I’ve been the technical lead for federal accounts for the last several years. Now, the digital twin has been talked about for over 20 years by various branches of the armed services for various reasons. But really in the last couple of years, we now have the computational power as well as the connectivity capabilities. So that would be the IoT (Internet of Things), capabilities for all the sensor data. And so we have the computational power interconnectivity capabilities and those two things are now ready to be integrated to make these digital twin concepts a reality. So it’s been natural that I’ve been involved in a lot of engagement with the armed services around deploying these simulation based digital twins.
Digital Transformation Definition
Patrick: So okay, you said a three letter word here, IoT, right? And so what I started with was the word digital transformation is being thrown around a lot and oftentimes with those words are digital thread, IoT, IIoT, Industry 4.0. from your own perspective, is there a single definition for digital transformation?
Dr. Miller: So the digital transformation to me is a broader goal. So it’s two-fold. One is a business transformation and two is a cultural transformation. So one, the business transformation, as you had mentioned, ROI for my adopting FEA tools in an analogous way, the digital transformation is to look to bring efficiencies into the engineering processes. And again that can approve the time to market, reduce costs and all these different KPIs that that people can strive for.
Further reading: 3D Digital Twin used for decarbonization and energy management optimization
The right representation of Digital Twins for Data Analytics
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