Dynamic Schedule Management for Cell Culture Speed Variations
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Solution Overview
Problem
In regenerative medicine, existing schedule management systems fail to adapt production schedules dynamically based on individual variations in cell culture speed, leading to potential extensions or reductions in production processes, necessitating additional culture steps or omitted operations.
Innovation Solution
A schedule management system that allows for real-time updates by adding or deleting sub-processes within production processes and adjusting the production schedule accordingly, based on ongoing determination results, enabling flexible management of production processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the production schedule is fixed in advance without real-time updates, then the production plan is simple to manage, but it cannot adapt to individual variations in cell culture speed, requiring additional culture processes or causing quality issues
Solution Approach 1:
The production schedule is transformed from a static fixed plan to a dynamic system that automatically adjusts in real-time. The main control device continuously monitors culture progress and automatically modifies the production schedule based on actual cell culture speeds, enabling the system to adapt to individual variations without manual intervention.
Solution Approach 2:
The system implements real-time feedback mechanisms where the main control device monitors culture progress continuously and uses this information to automatically adjust the production schedule. The feedback loop enables the system to detect deviations from the planned culture speed and automatically compensate by adding or removing culture processes as needed.
2Speed
If the production schedule is updated manually by workers, then the system structure is simple, but the update response is slow and cannot及时调整 to culture speed variations
Solution Approach 1:
The main control device performs self-service by automatically monitoring culture progress and adjusting the production schedule without human intervention. The system autonomously detects when culture speed variations occur and automatically modifies the schedule, eliminating the need for manual updates by workers.
Solution Approach 2:
The manual mechanical update process is replaced with an automated electronic control system. The main control device uses electronic monitoring and automated calculation to adjust the production schedule, replacing the manual mechanical process of workers reviewing and updating schedules.
3Reliability
If additional culture processes are added to accommodate slow culture speed, then the production schedule can be met, but the production time is extended and productivity decreases
Solution Approach 1:
The system dynamically adjusts the production schedule based on real-time culture progress, allowing flexible extension or reduction of culture processes. When culture speed is adequate, the schedule maintains high productivity by avoiding unnecessary extensions. When culture speed slows, the system automatically adds only the minimum necessary processes to meet the deadline.
Solution Approach 2:
The system changes key parameters of the production schedule dynamically, including culture time, number of culture processes, and start/end times of subsequent processes. These parameter changes are automatically calculated and applied to maintain schedule reliability while minimizing productivity loss.
4Productivity
If operations are omitted to match a fixed production schedule, then productivity is maintained, but product quality may be compromised due to insufficient culture time
Solution Approach 1:
The system continuously monitors culture progress and uses this feedback to determine whether operations can be safely omitted or must be maintained. The real-time data ensures that productivity optimizations do not compromise quality, as the system only reduces processes when culture progress indicates sufficient development.
Data Source
AI summary
A schedule management system 1 having isolators 3 (production facilities) and a main control device 4 for managing a production schedules of all the isolators 3. The production process of each isolator constituting the production schedule has a plurality of sub-processes, the production status being determined in the sub-process. The main control device 4 adds a new separating operation to the passage process and performs an update when the main control device 4 obtains a determination result that the separation of cells in a separation state confirmation operation (sub-process) in the passage process is insufficient while a passage process for cells A is being carried out in the isolators. The main control device 4 alters the start time of a culture medium exchange process for other cells B different from the updated passage operation, and updates the production schedule.