How Chen Hsong Is Advancing Production Line Solutions with Digital Twins and AI

Chen Hsong Group, a global leader in injection molding machines, showcased its collaboration with DataMesh at CHINAPLAS 2026, presenting a comprehensive digital twin solution that spans the full lifecycle of production line delivery—from pre-sales planning to after-sales service.

By integrating digital twin and artificial intelligence technologies, the joint solution transforms traditional production line planning into immersive, simulation-driven 3D experiences. This enables faster validation of design scenarios, improves decision-making efficiency, and enhances overall delivery quality.

As manufacturing continues to shift from standalone equipment sales to integrated production line solutions, the ability to clearly demonstrate value, validate feasibility, and scale service capabilities has become increasingly critical. Chen Hsong’s collaboration with DataMesh addresses these challenges with a unified digital platform.

Accelerating Decision-Making with Immersive Digital Twin Simulation

Built on the DataMesh FactVerse platform, Chen Hsong’s solution converts production line proposals into interactive digital twin environments. Engineers and customers can simulate different configurations and visualize key operational metrics—including throughput, cycle time, and energy consumption—before physical deployment.

In a recent automotive bumper production line project, the solution enabled the team to address complex constraints such as facility space, structural load limits, and energy allocation. Using the digital twin environment, the team:

  • Designed equipment layouts based on real factory data
  • Simulated AGV logistics and energy distribution
  • Applied AI-driven analysis to identify bottlenecks and optimize performance
▲ Quickly adjust equipment layouts using FactVerse Designer

This approach allows customers to evaluate solutions within a high-fidelity 3D environment, shifting decision-making from theoretical discussions to data-driven validation.

Enabling Scalable, Standardized Global Service Delivery

In addition to pre-sales applications, the collaboration extends into after-sales service. Leveraging the DataMesh Director platform, Chen Hsong has developed XR-based training modules for equipment maintenance.

At CHINAPLAS 2026, the company demonstrated an MR training application for replacing injection molding machine heating bands. The solution enables operators to perform guided procedures in an immersive, 1:1 virtual environment.

Compared to traditional training methods, XR-based training improves learning efficiency while converting operational expertise into standardized, reusable digital assets. With no-code content creation and multilingual capabilities, training materials can be rapidly deployed and consistently updated across global operations.

Serving customers in more than 85 countries and regions, Chen Hsong is leveraging this approach to deliver more consistent and reliable service worldwide.

Advancing Industrial Intelligence with AI and Digital Twins

The collaboration also incorporates generative AI into 3D content creation. Using a single image, teams can quickly generate accurate 3D models of components and integrate them into training and simulation scenarios, significantly reducing content production costs.

DataMesh has also introduced the FactVerse AI Agent platform, designed to help enterprises transform industrial operations, facility management, and predictive maintenance from experience-driven processes into computable, verifiable, and executable workflows. By integrating AI agent capabilities with digital twins, the platform enables a closed-loop workflow from data integration to intelligent computation, physical validation, visualization, and execution.

In practice, this means users can input production requirements and upgrade objectives and quickly generate multiple optimized solutions. The system not only identifies the best option but also validates it within a digital twin—ensuring it performs effectively under real-world spatial and operational constraints.

These capabilities unlock new possibilities for industrial operations, including automated optimization and validation of production lines, as well as intelligent monitoring and predictive maintenance at the equipment level.

Driving the Future of Industrial Solution Delivery

The joint solution presented at CHINAPLAS 2026 highlights a new model for industrial solution delivery—one that is more visual, intelligent, and scalable.

DataMesh will continue to work with global partners to advance the adoption of digital twin and AI technologies, accelerating the integration of data intelligence, spatial intelligence, and physical intelligence across industrial environments.