Configuration Version Control for Batch Process Validation
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Solution Overview
Problem
In heavily regulated industries like pharmaceuticals, automated batch processing systems face challenges in efficiently detecting configuration changes without necessitating full re-validation, which is costly and time-consuming.
Innovation Solution
Implementing a monitoring system that compares current configuration data against a validated, saved configuration to detect changes and generate reports, allowing for targeted re-validation procedures and minimizing the need for full system re-validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If configuration changes are made to the batch processing system, then the system can be adapted to new requirements, but full re-validation is required which increases cost and time
Solution Approach 1:
The patent segments the validation process by introducing configuration version control that divides the system into validated and unvalidated portions. When configuration changes occur, only the affected segments require re-validation rather than the entire system, thus reducing re-validation time while maintaining adaptability.
Solution Approach 2:
The system performs preliminary actions by establishing configuration version control and change detection mechanisms before changes occur. This allows the system to pre-identify which configuration elements are validated and which are not, enabling targeted re-validation approaches that reduce overall re-validation time.
2Adaptability or versatility
If configuration changes are made to the batch processing system, then the system can be adapted to new requirements, but full re-validation is required which increases expense
Solution Approach 1:
The patent segments the validation expense by introducing configuration version control that identifies only the portions of the system affected by changes. This allows organizations to pay for re-validation only where necessary rather than incurring full system re-validation costs, thus reducing expense while maintaining adaptability.
Solution Approach 2:
The system changes the parameter of configuration tracking by implementing version control that monitors and identifies specific configuration modifications. This enables cost-effective re-validation by focusing resources on changed parameters rather than validating the entire system, reducing re-validation expenses.
3Measurement precision
If comprehensive configuration monitoring is implemented, then configuration changes can be detected, but system complexity increases
Solution Approach 1:
The patent implements configuration monitoring by creating and maintaining a copy of the validated configuration baseline. This copy serves as a reference for detecting changes without requiring complex real-time monitoring of the entire system, thus achieving accurate change detection while minimizing added complexity.
Solution Approach 2:
The system introduces an intermediary configuration version control mechanism that mediates between the validated system and change detection requirements. This intermediary layer tracks configuration states and identifies changes without adding significant complexity to the core batch processing system, achieving accurate monitoring with minimal complexity increase.
Data Source
AI summary
An automation control system can be efficiently developed and maintained as a hierarchical arrangement of configured components that pass process control parameters received from a control component and return reports back to the control component. In particular, control components compare a current configuration to a validated, saved configuration in order to report a configuration status as to whether a process can be conducted as validated. Yet, changes to the configuration of the automation control system that do not affect a validated portion do not preclude continued validated processing.