INVISTA Uses AWS IoT TwinMaker and Matterport to Transform Production

With long-time employees due to retire, INVISTA was facing a significant loss of experience on the shop floor. As Dane Laughlin, director, advanced learning capabilities at INVISTA said, “We stood to lose years’ worth of institutional wisdom.”

INVISTA also wanted employees to have a solution where they could access the knowledge they needed when they needed it. Laughlin explained the connected worker vision that the company had, “The idea is to coalesce people, tools and the data they need in order to improve operational efficiency.” By making the right information easily accessible, INVISTA would be able to drive operational efficiencies.

INVISTA decided to develop digital twins in which employees could look at virtual replicas of shop floors and find information about production processes. It worked with AWS Partner Matterport to capture its production facilities in photo-realistic 3D to gain access to critical building intelligence. Those 3D visualizations are surfaced with AWS IoT TwinMaker to serve up contextual insights to shop floor employees. This not only empowers employees to troubleshoot issues independently and rapidly by finding answers to issues on the digital twin, but also allows them to collaboratively add their own knowledge to it.

INVISTA now has a live, employee-crowdsourced knowledge base built on Matterport and Amazon Web Services (AWS) that is constantly growing. Since Matterport already uses Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Container Service (Amazon ECS), the integration with AWS IoT TwinMaker is seamless.

Grant Johnson, operations transformation project manager at INVISTA, explained how its integrated solution works, “It pulls data from disparate sources—from IoT sensors to work orders in SAP—into a database, which is paired to Matterport visualizations. When we migrate this into the AWS IoT TwinMaker, it makes sense of all the data, and finally, a custom-built frontend allows employees on the shop floor to use the solution seamlessly.”

Being able to locate the right data rapidly has drastically dropped unexpected downtime for INVISTA. Johnson explained, “The faster you can find the data you need, the faster you can get operationsup and running again.” Now that every employee can find answersto their issues independently and contribute to a growing knowledge base, INVISTA is better prepared for anticipated retirements.

In the future, INVISTA is looking to unite many different technology elements it uses—digital twin, augmented reality, virtual reality, and generative artificial intelligence—to create a cohesive ecosystem. This will enable a smarter factory with more manufacturing efficiencies, and even better quality control.