As Sas, Epic Games and Georgia-Pacifier are reimaging production with digital twins
If you think about SAS as data, he and the electricity of analytics, epic games like the studio behind Fortnite and Georgia-As a company that makes paper towels and more, you are not wrong.
But you are missing the biggest story. One that is silent and cooperation-but it reformulates how industrial companies use it in real time to solve real-world problems.
At the heart of this transformation is an innovative combination of he, real -time analytics and 3D visualization for modernization of production. Leaders from SAS, Epic Games and Georgia-Pacific took the scene at SAS INOVATE 2025 in Orlando to attract the curtain in what they have built-and why it matters.
Technology Stack reads as a list of desires for the leaders of thought operations before: SAS® Viya® for advanced analytics and learning of machinery, unreal engine from epic games for 3D hyper-realist visualization, and a digital-related digital infrastructure that reflects real factory environments. But magic is not just in tools – it’s the way they are integrated.
Let’s unpack this cooperation.
Digital, reimenied twins
We have heard the term “digital twin” thrown around in board rooms and white papers. But as Sas’s leading technology official Bryan Harris pointed out, it’s time to go deeper.
“Many people have different definitions. But the question we need to ask is: What is the purpose of a digital twin for a business?”
For SAS, the answer is clear: digital twins must simulate complex environments, generate synthetic data, and provide active knowledge. Harris argued that digital twins should not only function as the real world, but also look like it.
Here are epic games.
Learn more about digital twins
Unjustage
Most people know epic games for Fortnite, one of the most played games in the world. They may not understand that the unreal engine, the technology behind Fortnites, strengthens everything, from architectural appearances to autonomous vehicle simulations.
Bill Clifford, vice president of the UNREAL engine ecosystem in epic games, explained it:
“Unreal is a real -time 3D engine used for product design, simulation, training and sales and marketing applications in large enterprises.”
And now, thanks to a collaboration with Sas, Unreal Engine is empowering the digital photorealist twins of the real -world factories. These simulations are not simply aesthetically pleasing – they are smart.
The organizations co-developed an appendix that connects the unreal engine with Sas Viya. This allows users to use real -time data from simulated environments to promote models that analyze, optimize and test industrial operations.
Testing of borders in georgia-naq
Roshan Shah, a vice president of he in Georgia-GP (GP), clearly defined the challenge:
“Today’s manufacturing plants are complex environments with autonomous directions (AgVs), robotics and people working together. When things go wrong, it gets expensive and people can get hurt.”
Their first test case was the long GP of the Savannah River with 400 meters to four football fields. In this structure, which produces consumer goods including napkins, paper towels and toilets, the GP has worked with SAS to optimize the Cost and Safety Course.
The team appeared in several promising scenarios analyzing the movement of the fleet using Sas Viya and the course of modeling strategies. But instead of gambling millions to test these strategies in a direct factory, they turned to the digital twin.
“Thanks to Unreal Engine,” Clifford explained, “we can understand the complexities of the physical world in a virtual environment with high loyalty and repeat in real time with simulation.”
Moreover, behind the scenes, Sas created a factory editor for plant managers. Shah spoke about the impact of this:
“This editor makes it easy for plant managers to develop different scenarios” What if “. It’S’S a complete shift of the game. Target work! “
The increase in the number of AGV looked logical in a simulation, but created a traffic jam. Unreal Engine marked the issue and allowed the team to experiment practically. The result?
“To improve the average mission time by eight percent, we need to reduce the three AgV fleet size. This means that the right number of AgVs in our Savannah facility is 47.”
Think about this: a completely simulated plant, providing an accurate operational recommendation without raising a grief in the real world.
Safety without risk
But the innovation did not stop in logistics.
“A worker dies every 90 minutes of an injury related to the work in the US,” Harris said. “Today, existing computer vision models are only improving in the degree of workplace damage.”
This is unacceptable. So the team asked, “What if we were to train these models better without putting anyone in damaged?”
With Engine unreal, they can. Digital workers entered the factory realistic scenes, involving normal and unsafe behavior. Shah explained:
“We can simulate employees involved in dangerous behavior without posing risks to them in the real world. All the behaviors you see here are automatically labeled as ‘unsafe’.”
They even changed factors such as camera angles, lighting and protective clothing to generate rich synthetic data that can strengthen more effective safety patterns.
“Hopefully, an employee will not make a push on the carrier’s belt, but you get the point,” joked chess.
What are synthetic data?
The biggest picture
What makes this cooperation convincing is not just technology – is the goal.
This collaboration shows how traditionally reserved tools for entertainment can be buried for business. It shows how submersible environments, synthetic data and it can work together to save money and life.
“This is the future of production operations,” Harris said.
And he is right. Because after you can simulate anything, try everything and optimize without risk, why wouldn’t you be?
This is not scientific fiction. It is a work solution used by a global manufacturer, powered by the technologies you already know.
The world and he is accelerating quickly. But innovative cooperation like this shows that we can build something better than the real thing when the right minds come together, with purpose and accuracy.
Not because it replaces reality, but because it makes the reality work better.
