Supply Chain Event Detection for Medical Device Damage Prevention
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Solution Overview
Problem
In the supply chain process, particularly for medical devices like syringes, unintended parameters such as forces or pressures applied during manufacturing, assembly, testing, sterilizing, packaging, and delivery can cause structural damage or malfunction, leading to premature failures and health safety issues.
Innovation Solution
A system and method that utilize sensing devices to detect and measure parameters like forces, pressures, or temperatures during the supply chain process, identifying the stage and source of the event, and proposing modifications to prevent future occurrences by comparing detected values to thresholds and adjusting operational characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensing devices and monitoring systems are implemented to detect events during supply chain processes, then product safety and structural integrity are improved, but device complexity and implementation cost increase
Solution Approach 1:
The system performs preliminary actions by implementing sensing devices and monitoring systems before events occur during supply chain processes. These devices are pre-positioned to detect parameters such as temperature, humidity, shock, and light exposure, enabling early identification of potential risks and preventive mitigation of events that could compromise product safety or structural integrity.
Solution Approach 2:
The system employs feedback mechanisms where data from sensing devices is continuously monitored and analyzed. When parameters exceed predetermined thresholds or abnormal patterns are detected, the system generates alerts and notifications to stakeholders, enabling real-time responses. This feedback loop allows for dynamic adjustment of supply chain operations to maintain product safety while managing system complexity through intelligent monitoring rather than universal intervention.
2Measurement precision
If detailed monitoring of parameters during supply chain processes is implemented, then manufacturing precision and event detection accuracy are improved, but loss of time and processing overhead increase
Solution Approach 1:
The system applies partial monitoring by focusing on critical parameters and key supply chain stages rather than continuously monitoring all parameters throughout the entire supply chain. Sensing devices measure specific parameters such as temperature, shock, and light exposure at strategically selected points, achieving sufficient event detection accuracy without the time and resource overhead of comprehensive continuous monitoring of all parameters.
Solution Approach 2:
The system implements event-driven monitoring where data is continuously collected but detailed analysis and alert generation occur only when events are detected or parameters approach threshold values. During normal operations, the system rapidly processes data with minimal intervention, and only engages detailed analysis when necessary, thereby reducing processing time while maintaining high detection accuracy for critical events.
Data Source
AI summary
A method for identifying an event during a supply chain process that includes preparing a product during the supply chain process, determining an occurrence of the event during preparation of the product during the supply chain process, and identifying a modification to the supply chain process to inhibit occurrences of the event during subsequent preparations of the product in the supply chain process. The event causing a change of the product.