Anomaly Work Assignment With Real-Time Reassignment Tracking
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Solution Overview
Problem
Existing worker assignment systems in production facilities do not ensure rapid recovery from anomalies due to manual intervention and lack of real-time review, leading to potential delays and increased damage.
Innovation Solution
A work support system that includes a controller system, an information processor, and terminal devices, allowing for the display of anomaly information, worker assignment, progress tracking, and dynamic reassignment based on real-time progress updates, with support information such as location, skill, and emergency level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual intervention is used for worker assignment to anomalies, then flexibility in handling complex situations is improved, but recovery time increases and productivity decreases
Solution Approach 1:
The system implements real-time feedback mechanisms where the progress of each worker on each anomaly is continuously monitored and fed back to the assignment management unit. This enables dynamic reassignment based on actual progress, ensuring both rapid response and adaptability to changing conditions during the recovery process.
Solution Approach 2:
The worker assignment system transitions from static pre-programmed assignments to dynamic real-time assignments. The system continuously adjusts worker assignments based on current anomaly status, worker progress, and emerging priorities, allowing the system to adapt to complex situations while maintaining high productivity through automated decision-making.
2Productivity
If automated worker assignment is implemented, then recovery speed is improved, but ability to review and adjust assignments in real-time is lost
Solution Approach 1:
The system incorporates continuous feedback loops where progress information from workers is automatically received and processed. This feedback enables the assignment management unit to review current assignments and make real-time adjustments, combining the speed of automation with the adaptability of human oversight.
Solution Approach 2:
The assignment management unit acts as an intermediary between the automated assignment system and real-time progress data. It receives progress information, evaluates whether reassignment is necessary, and executes adjustments, thereby bridging the gap between automated speed and adaptive review capabilities.
3Productivity
If multiple anomalies are handled simultaneously, then overall system recovery is improved, but complexity of coordination increases
Solution Approach 1:
The system segments the management of multiple anomalies into individual, independently trackable units. Each anomaly has its own progress tracking and assignment management, allowing the system to handle multiple anomalies simultaneously without overwhelming coordination complexity. The segmentation enables parallel processing while maintaining clear oversight of each individual anomaly's status.
Data Source
AI summary
Upon receipt of a signal indicating occurrence of anomalies, an information processor displays the nature of the anomalies. The information processor accepts for each anomaly, an input operation for assignment of a worker who is to handle an anomaly. Based on the assignment, the information processor notifies a terminal device of the worker of the nature of the anomaly to be handled by the worker. The terminal device displays contents of a remedy for the anomaly. The terminal device transmits progress information to the information processor. The information processor displays the progress information. The information processor further accepts an input operation for updating the assignment of a worker who is to handle the anomaly. Based on the assignment updated, the information processor notifies the terminal device of the worker of the nature of the anomaly to be handled by the worker.