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Integrated Process Modeling-A Process Validation Life Cycle Companion.

Thomas Zahel1, Stefan Hauer2, Eric M Mueller3

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Summary
This summary is machine-generated.

This study introduces an integrated process model (IPM) using Monte Carlo (MC) simulation for pharmaceutical process validation. This approach enhances control over process variation and predicts out-of-specification events, improving final product quality.

Keywords:
Monte Carlo simulationbiopharmaceutical manufacturingholistic process modelpredict out of specification eventsprocess characterization studyprocess validation

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Area of Science:

  • Pharmaceutical Manufacturing
  • Process Validation
  • Biopharmaceutical Development

Background:

  • Pharmaceutical companies strive to control process variation and its impact on critical quality attributes (CQAs) during validation.
  • Directly linking individual process parameters (PPs) to CQAs is challenging, particularly in complex biopharmaceutical processes with interacting unit operations.

Purpose of the Study:

  • To present the application of Monte Carlo (MC) simulation with an integrated process model (IPM) for estimating process capability early in validation.
  • To demonstrate the IPM's utility in risk and criticality assessment for holistic production control.

Main Methods:

  • Development and application of an integrated process model (IPM) utilizing Monte Carlo (MC) simulation.
  • Training IPM with development data, refining with qualification runs, and maintaining with routine manufacturing data.

Main Results:

  • The IPM enables process capability estimation even in early validation stages.
  • Demonstrated IPM's effectiveness in risk and criticality assessment for biopharmaceutical manufacturing.
  • The methodology allows anticipation of out-of-specification (OOS) events and identification of critical process parameters.

Conclusions:

  • Integrated process models (IPMs) facilitate holistic production control by accounting for interactions between process parameters across multiple unit operations.
  • IPMs support a lifecycle concept, adaptable from development through routine manufacturing.
  • This approach enables risk-based decisions to enhance process robustness and reduce OOS events.