Cloud MES Layer for Real-Time Pharmaceutical Quality Control
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Solution Overview
Problem
Current manufacturing systems in pharmaceutical and biopharmaceutical industries face challenges in integrating cloud computing for efficient, real-time process control, leading to high drug costs and inconsistent quality, which are exacerbated by the need for global integration and regulatory compliance.
Innovation Solution
A cloud-based manufacturing execution system (MES) that integrates software programs for continuous monitoring and control of pharmaceutical and biopharmaceutical processes, utilizing various endpoint protocols, data centers, and sensors to ensure purity and consistency of active and inactive ingredients, and interfacing with PLCs for automated control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cloud-based MES is implemented for real-time process control, then manufacturing precision and product consistency are improved, but device complexity and integration challenges increase
Solution Approach 1:
The patent introduces a cloud-based MES as an intermediary layer between manufacturing equipment and enterprise systems. This cloud platform mediates data collection, processing, and control functions, enabling real-time monitoring and consistent quality control without requiring direct complex integration between all system components. The cloud MES acts as a centralized mediator that simplifies the overall system architecture while maintaining manufacturing precision.
Solution Approach 2:
The cloud-based MES is designed as a universal platform that can interface with multiple types of manufacturing equipment, sensors, and enterprise systems through standardized protocols. This multi-functional capability allows the system to handle diverse manufacturing processes and data formats without requiring custom integration solutions for each device, thereby reducing overall system complexity while maintaining consistent product quality across different production lines.
2Adaptability or versatility
If distributed control systems are used to replace centralized control, then adaptability and flexibility are improved, but loss of information and communication delays increase
Solution Approach 1:
The patent implements comprehensive feedback mechanisms in the distributed control system, where sensors continuously monitor process parameters and feed data back to the cloud-based MES. This real-time feedback loop enables the system to detect and correct information loss or deviations during transmission, maintaining data accuracy while preserving the flexibility benefits of distributed control architecture.
Solution Approach 2:
The system employs preliminary data validation and preprocessing at the edge devices before transmission to the cloud, ensuring that critical information is captured and verified locally. This preliminary action reduces the risk of information loss during transmission and maintains data integrity while allowing the distributed system to operate flexibly across multiple locations and devices.
Data Source
AI summary
“Cloud” based manufacturing execution systems (“MES”) and methods thereof used to control, execute, and monitor pharmaceutical or biopharmaceutical production processes and systems are disclosed herein. Consequently, the methods and systems provide a means to quality manufacturing on an integrated level whereby drug or biologic manufacturers can achieve data and product integrity and ultimately minimize cost.