Biomanufacturing Recipe Version Control via Centralized Data Assimilation
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Solution Overview
Problem
In biomanufacturing, there is a challenge in managing and synchronizing recipe edits across different data stores used by various controllers/users, leading to conflicting instructions for bioreactors, which can result in disparate and conflicting operational parameters during experiments.
Innovation Solution
A client-facing data assimilation system that allows credentialed users to create, monitor, and alter recipes while ensuring exclusive editing rights, with a cloud-based database for storing a unique, up-to-date recipe version, and a user interface for real-time monitoring and data presentation, ensuring that only one user can edit the recipe at a time to prevent version control issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple users can edit recipes in different data stores simultaneously, then user accessibility and flexibility are improved, but recipe version control and instructional consistency deteriorate
Solution Approach 1:
The patent merges multiple distributed data stores into a single centralized data store that holds the master recipe version. This consolidation allows all users to access and edit recipes through one unified system, eliminating the version control problems that arise from having multiple separate copies of recipes across different controllers and data stores.
Solution Approach 2:
The system implements feedback mechanisms where the centralized data store continuously synchronizes recipe versions across all connected controllers. When a recipe is edited in one location, the system detects the change and propagates the updated version to all other controllers, ensuring that every user always accesses the most current recipe version without manual intervention.
2Adaptability or versatility
If recipes are stored in distributed data stores across multiple controllers, then system decentralization and user autonomy are improved, but instructional consistency and experiment reproducibility deteriorate
Solution Approach 1:
The patent combines the recipe storage function into a single centralized data store that serves all controllers in the biomanufacturing system. This centralization ensures that there is only one source of truth for recipe instructions, eliminating the discrepancies and version conflicts that occur when recipes are distributed across multiple independent data stores.
Solution Approach 2:
The centralized data store serves multiple functions simultaneously: it acts as the master recipe repository, the synchronization hub for all controllers, and the authoritative source for experimental instructions. This multi-functional design allows the system to maintain both decentralization for operational flexibility and centralization for instructional consistency.
3Manufacturing precision
If manual handling and individualized attention are provided for seed preparation and sample analysis, then process accuracy and quality control are improved, but time consumption and manpower requirements increase
Solution Approach 1:
The system implements self-service automation where the centralized data store and control system automatically manage recipe distribution, version control, and parameter synchronization across all bioreactors. This eliminates the need for manual intervention in routine tasks such as recipe copying and parameter setting, allowing the system to serve itself while maintaining high accuracy standards.
Solution Approach 2:
The patent replaces manual mechanical operations with automated electronic systems. Controllers automatically retrieve recipes from the centralized data store, and software systems automatically synchronize parameters across multiple bioreactors, substituting human manual handling with automated computational and electronic control mechanisms that are both faster and equally accurate.
Data Source
AI summary
Systems and methods described herein provide a data presentation, assimilation and monitoring system for a biomanufacturing system utilizing an array of bioreactors for conducting biomanufacturing experiments. In embodiments, the experiments may be controlled by recipes that can be created and altered by credentialed users. During experiments, credentialed users may monitor operational parameters of the bioreactors conducting experiments as well as batch and group parameters across multiple bioreactors. Further, credentialed users may alter recipes to the exclusion of other credentialed users while editing. Further yet, specific checklists may be utilized to ensure that correct and suited equipment (such as bioreactors and experiment bays) are matched with an experiment plan.