Teamcenter Embraces [email protected] as Linqua Franca

Support for classification standard to promote data exchange and the digital twin.

Support for classification standard to promote data exchange and the digital twin.

Teamcenter now supports the [email protected] classification system, helping companies standardize product-related data throughout the lifecycle and better inform the digital twin.

Speaking the same language, metaphorically of course, is critical when you’re trying to share product data with stakeholders up and down various points in the lifecycle while promoting an open exchange across an extended supply chain.

To bolster its product lifecycle management platform’s data exchange capabilities, Siemens is adding formal support for [email protected], an 18-year-plus ISO/IEC-compliant industry standard for classification and product description. Teamcenter, which has long enabled customers to create their unique taxonomies and classes, is adding [email protected] support as an option for companies looking to streamline business data exchange throughout their supply chain while creating a foundation on which to build the digital twin and a digital thread to connect enterprises processes.

 “A common 'language' is a key success factor for digitalization and can help to minimize mistakes in information exchange with our customers and suppliers,” said Robert Jung, head of Siemens’ Intelligent Data Logistics Program, in a prepared release.

Data Standardization Benefits

Over the last few years, [email protected] has grown into a mainstream reference-data standard for classification and description of products and services, notes Jim Dehmlow, Teamcenter product management. By incorporating [email protected] support into Teamcenter, which Dehmlow claims is a first among PLM suppliers, Siemens is trying to help companies by providing a common language through which they can exchange information, eliminating the inconsistencies and inefficiencies currently spent describing classification properties so partners can effectively share data.

“When you have a standardized taxonomy, you can get into more of a single thread for digital data exchange, which streamlines information flow through design, procurement, engineering and production processes,” he explains. “Ultimately that will lead to a more robust digital twin.”

Classification as delivered by [email protected] is typically used within PLM for a number of business processes, including to facilitate searches for parts. Traditionally, Teamcenter users have determined their unique taxonomy and data classes, which while allowing for maximum flexibility in terms of classifying anything (including parts, documents and processes), leads to data being stored and managed in diverse formats. As a result, organizations often face challenges like loss of information during translation to other systems or the propagation of disconnected and inefficient data silos and information systems. Both practices will ultimately lead to higher costs and lower quality product, Dehmlow claims.

Through use of [email protected], Teamcenter customers can avoid those scenarios.

“Classification provides a detailed set of criteria by which to search for things and when you put it into PLM, it can help with reuse,” Dehmlow says, explaining that if an engineer or procurement specialist can’t find a component in the system, they typically will create another, which leads to duplicate parts and thousands of dollars in waste. “They have to then manage and source those parts, when they already might have had volume sourcing agreements,” he says. “It can create all sorts of problems running an efficient digital twin because you introduce waste into the system.”

In addition to the new [email protected] capabilities, Teamcenter will still support the traditional classification approach, which means customers can seamlessly migrate to the new system as they are ready. The feature will be available within Active Workspace for Teamcenter.

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Beth Stackpole

Beth Stackpole is a contributing editor to Digital Engineering. Send e-mail about this article to [email protected].

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