Virtual Engineering for Pharma 4.0 and Biotechnology

Digital Twins, Simulation, and Engineering Support for Transparent, Safe and Flexible Production Systems

Pharmaceutical and biotechnological production is becoming more digital, more connected, and more software-driven. At the same time, companies must remain reliable, compliant, and efficient in highly regulated environments. This creates a growing need for engineering approaches that make systems easier to understand, validate, adapt, and operate.

The Pharma 4.0 Team within Fraunhofer IESE’s Virtual Engineering department bridges the gap between complex software engineering and practical, compliant manufacturing. We transform digital twins from abstract concepts into actionable engineering tools for planning, development, operation, and continuous process optimization.

Why Virtual Engineering for Pharma & Biotech?

  • De-Risk Innovations & Process Changes: Test, evaluate, and validate software updates, process reconfigurations, and system changes virtually before applying them to physical, highly sensitive assets.
  • Engineering for Data Integrity & Traceability: Structure complex asset and process data using open standards, making it significantly easier to maintain the end-to-end traceability required by regulatory frameworks (e.g., GxP).
  • Accelerate Scale-Up & Modularization: Simplify the integration of heterogeneous lab equipment and production lines through standardized digital interfaces, reducing engineering time and operational downtime.

What We Offer

We empower pharmaceutical companies, biotechnology pioneers, and system suppliers to master digital transformation:

  • Digital Twin Architecture & Strategy: Design standardized digital twin infrastructures (based on the Asset Administration Shell/AAS) tailored to complex pharma and biotech workflows.
  • Virtual & Automated Batch Records: Structure and aggregate real-time asset data, process parameters, and execution history into interoperable digital representations to streamline batch documentation and quality assurance.
  • Closed-Loop Applications & Optimization: Connect simulation models with operational data to enable closed-loop decision support, allowing virtual analyses to dynamically feed back into process control and real-time optimization.
  • Simulation & Virtual Commissioning: Build co-simulation environments (using tools like FERAL) to analyze system behavior, compare design alternatives, and de-risk deployment early in the engineering lifecycle.
  • Implementation & Integration: Deploy scalable, open digital twin architectures using frameworks like Eclipse BaSyx.

References and Successful Projects

 

RNAuto

Automated Production of mRNA-Based Therapeutics (Fraunhofer Flagship Project).

 

VIMOPROP

Virtual modeling and test bench project in the field of process and production digitization.