Cell Therapy Manufacturing System Dynamic Scheduling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The variability in biological characteristics of patient samples and unpredictable processing times in cellular therapies lead to challenges in scheduling and resource allocation, potentially resulting in lower quality cell products and increased turnaround times.
Innovation Solution
A cell therapy manufacturing system that includes a controller and tracking devices to monitor sample processing timelines, provide real-time updates on completion times, and dynamically allocate resources based on patient attributes and biological processes, ensuring optimal scheduling and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual scheduling methods are used for cell therapy processing, then flexibility in handling variable biological responses is maintained, but processing time variability increases and manufacturing efficiency decreases
Solution Approach 1:
The system dynamically adjusts processing schedules and resource allocation based on real-time monitoring of cell sample characteristics and processing progress. The controller continuously updates estimated completion times and reassigns resources to optimize throughput while adapting to variable biological responses of different cell samples.
Solution Approach 2:
The system implements closed-loop feedback by monitoring processing parameters and cell sample responses in real-time, then using this information to adjust scheduling decisions and resource allocation. This feedback mechanism reduces processing time variability by identifying and responding to deviations from expected processing timelines.
2Loss of information
If real-time tracking and monitoring systems are implemented, then processing timeline visibility and scheduling accuracy improve, but system complexity and initial manufacturing costs increase
Solution Approach 1:
The tracking device serves multiple functions: it monitors processing timelines, provides real-time location tracking of cell samples, stores identification information, and communicates with the controller for scheduling decisions. This multi-functionality reduces the need for separate specialized devices, thereby limiting the increase in system complexity.
Solution Approach 2:
The system uses intermediate communication devices and standardized data exchange protocols to bridge the gap between complex manufacturing equipment and the scheduling controller. This intermediary layer simplifies integration and reduces overall system complexity by providing a universal communication interface.
3Productivity
If dynamic resource allocation based on real-time data is implemented, then manufacturing throughput and resource utilization improve, but data processing requirements and computational complexity increase
Solution Approach 1:
The system pre-calculates and stores processing protocols, resource availability patterns, and scheduling algorithms before manufacturing begins. This preliminary preparation reduces real-time computational requirements by having decision-making logic and resource allocation strategies already established, allowing faster response to real-time data without excessive computational complexity.
Data Source
AI summary
The present disclosure relates to cell processing techniques. By way of example, a cell processing system may include a plurality of sample processing devices configured to process patient samples and a plurality of readers respectively associated with the plurality of sample processing devices, wherein each reader is configured to read information from tracking devices associated with respective patient samples. The system may also include a controller that uses information from the readers to provide an estimated completion time for a patient sample based on availability of the sample processing devices.