Manufacturing Digital Twin

From aggregating complex data through various sources to limited root cause analysis, there are various points within the value chain where the manufacturing digital twin can help enterprises 10x their current capabilities.

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Digital twin explored through mixed reality headset and mobile

Root cause analysis

Aggregating data from Manufacturing Execution System (MES), is complex and results in high downtime in root cause analysis.

Lack of part quality

There is a lack of part quality as technicians are unable to follow printed instructions due to complex nature of the assembly line process.

Inconsistency in output data

Critical data is not accessible for decision-making which results in inconsistency in output quality.

Low rejection rates

Aggregate data and information from multiple systems, and take corrective actions with digital work instructions.
Identify and track changes in real-time across all devices.
Full view of all variables, time frames, data behaviour and relationships as a 3D digital twin.

Streamlining manufacturing with immersive technology

Part quality in precision engineering

Higher level of clarity and readability than that of traditional electronic display systems.
Live connect between inspection and the production line engineers providing visibility to the operator on the quality status.
Digital twinning to eliminate non-revenue generating quality checks and through data aggregation and root cause analysis.

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