TEAMCENTER CLASSIFICATION FOR SYSTEM OPERATIONS

Teamcenter Classification

In today’s highly responsive global market, manufacturers across all industries must focus on accelerating innovation, optimizing costs, and bringing products to market faster. To achieve this, manufacturers need to make the most of every object and process used during product design. This requires locating all existing objects and reusing them effectively.

Redesigning an object from scratch is not always the best solution. Instead, classifying objects is a smart approach to enable effective reuse. Organizations also need to stay ahead of emerging technology trends. Classification Artificial Intelligence (AI) helps customers by reducing tedious, error-prone, and difficult daily tasks associated with object classification. Classification AI allows organizations to leverage technology at the next level.

Accelerate with Teamcenter Classification AI and Operate Your System

In my previous article, you saw how Teamcenter Classification AI helps achieve progress in product data collection and design reuse through classification.

Classification AI brings the power of machine learning into core PLM workflows. It can reduce up to 90% of the effort required for routine classification tasks. It’s a perfect tool for organizations to leverage AI capabilities to take action collaboratively.

However, AI participation initially contributed to interactive object classification within the Active Workspace client. Recent releases have removed this barrier. The Classification AI tool can now automatically classify objects in the background. These automated classifications can run in batch mode or via command line, allowing processing of large volumes of data.

The Classification Administrator can review dry-run reports and set the AI confidence threshold—a configuration showing the percentage confidence at which automated classification can proceed. Once parameters are configured, the administrator can schedule batch jobs to perform automated classification during off-peak hours, saving time.

Humans in the Loop Approach

Blindly relying on AI can lead to prediction inaccuracies and disrupt reuse workflows. Therefore, it is crucial to incorporate automatically classified objects from Teamcenter Classification AI into an evaluation mechanism where subject matter experts (SMEs) can contribute their valuable experience to review them.

SMEs and small to medium-sized businesses can review and clean up automated classifications, ensuring that objects representing accurate classification data are human-verified.

Operating Teamcenter Classification AI

In summary, Teamcenter Classification can play a significant role in ensuring resources are used efficiently. It can positively impact business outcomes. Additionally, the automated classification feature removes manual classification barriers and promotes a mature culture of design reuse within organizations.

Ultimately, current Teamcenter Classification AI capabilities ensure clean and reliable data collection under SME supervision. Is this what you’ve been looking for? If so, contact us for more information.

Source: Siemens

SDE TECHNOLOGY CO., LTD (SDE TECH) was established in 2014. By 2018, we became a Smart Expert Partner – a leading partner of Siemens Digital Industries Software in the Southeast Asia – Pacific region for Siemens NX (Unigraphics NX), Simcenter, Solid Edge, Tecnomatix, and Teamcenter solutions.