Digital Twin in Vaccine Manufacturing Process

Solution Overview

Our solution integrates machine connectivity, real-time process parameter data extraction, and IT-OT system integration. This approach offers insights into process quality by identifying trends and detecting drifts to uphold stringent quality standards and empowers businesses with real-time analytics for informed decision-making.More

Our solution integrates machine connectivity, real-time process parameter data extraction, and IT-OT system integration. This approach offers insights into process quality by identifying trends and detecting drifts to uphold stringent quality standards and empowers businesses with real-time analytics for informed decision-making. Leveraging advanced 2-D process visualization, the solution delivers predictive insights and ensures robust quality assurance, optimizing operational efficiency and fostering continuous improvement.

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Industry Challenge

Keeping up with rising regulatory demands for consistent bio-vaccine quality while reducing costs and accelerating production is increasingly difficult. The need for real-time insights, early detection of trends, and predictive quality measures has never been more critical.

Solution Highlights

Design and Development of Interfaces

The digital twin solution provides access to and aggregates data from various sources/ IT-OT systems integration.

Design and Development of Architecture

It renders data ingestion, aggregation, transformation, and cloud storage capabilities (on Microsoft Azure).

Design, Development, and Training of ML Models

All process quality trends and drifts are determined using historical data in the cloud.

Deployment of Analytics Modules

An on-premise edge server detects, forecasts, and predicts process quality trends and drifts.

Design and Development of Application Software

Appropriate interfaces help integrate back-end and front-end entities with analytics models and deploy them over on-premise edge servers.

Solution Benefits

  • Process optimization and consistent product quality
  • Reduction in batch rejection
  • Higher throughput and production rate
  • Real-time visualization and early detection of drifting trends
  • Quality and throughput forecast and prediction

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