Knowledge through virtualization
Digital twin capabilities allow analytics to be formed from a virtual mirror of assets or processes. The Element Platform from Element Analytics is a digital-twin management solution that “unlocks ad hoc analysis on any and all operational data,” says Sameer Kalwani, founder and vice president of product for Element Analytics.
Digital twins allow companies to compare assets, predict equipment failures, and optimize process lines using simple business intelligence tools or advanced machine learning, explains Kalwani. “Companies are realizing that building, let alone maintaining, digital twins requires software,” he adds.
The Digital Twin Builder (Advanced) within Sight Machine’s Enterprise Manufacturing Analytics (EMA) solution enables configuration of a unified data model of the enterprise. Sight Machine’s digital manufacturing platform provides “a scalable pipeline to combine factory data into standard manufacturing data models that mirror machines/lines, parts/batches, plants, and supply chains,” says Ryan Smith, vice president of product and engineering at Sight Machine.
Another EMA feature is its Correlation Heatmap tool, which automatically analyzes tens of thousands of data points to identify which variables and machines are affecting a product’s quality. “Using advanced analytics and machine learning, Sight Machine’s platform helps companies increase productivity, improve quality, and provide remote visibility across the manufacturing enterprise,” says Smith.
