Operation Control Alarms for Abnormality and Countermeasure Tracking
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Solution Overview
Problem
Existing production management systems struggle with inefficient PDCA cycles due to delayed recognition of abnormalities, lack of prompt countermeasures, limited visualization of factory operations, and inadequate user-specific information delivery.
Innovation Solution
An operation control system that collects and stores abnormality and countermeasure information, monitors their duration and status, and outputs alarms based on these states, allowing for efficient PDCA cycles and tailored information delivery to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If simple visualization of actual achievement is implemented, then information display is achieved, but time consumption increases and abnormality recognition is delayed
Solution Approach 1:
The system pre-calculates and stores KPI achievement rates and abnormality determination criteria before actual monitoring begins. When monitoring starts, the system directly compares actual values against pre-prepared thresholds and patterns, eliminating the need for real-time complex calculations and enabling immediate abnormality detection
Solution Approach 2:
The system creates simplified copies of complex production data by generating visual indicators (color-coded displays, icon representations) that replicate essential information states. These visual copies enable rapid comprehension of factory status without requiring detailed numerical analysis, significantly reducing recognition time
2Speed
If abnormality recognition is improved, then response speed increases, but countermeasure follow-up capability is lacking
Solution Approach 1:
The system implements a closed-loop feedback mechanism where abnormality detection automatically triggers countermeasure recommendations, execution status tracking, and effect verification. The system continuously monitors whether recommended countermeasures are implemented and whether they resolve the abnormality, providing feedback to ensure reliable follow-up
Solution Approach 2:
The system introduces an intelligent intermediary layer that bridges abnormality detection and countermeasure execution. This intermediary automatically generates countermeasure recommendations based on stored knowledge bases, tracks their implementation status through integrated sensors and user inputs, and verifies their effectiveness, ensuring reliable follow-up without requiring manual intervention at each step
3Device complexity
If generic information display is used, then system simplicity is maintained, but user-specific information needs are not met
Solution Approach 1:
The system implements dynamic adaptability where display content, detail level, and information priority automatically adjust based on user role, department, and current factory conditions. Managers see high-level summaries with abnormality focus, while operators see detailed machine status and operational parameters, all within the same simplified interface framework
Solution Approach 2:
The system creates a universal interface that serves multiple user types and information needs through a single platform. The same basic interface structure adapts to display different information sets for different users based on their permissions and roles, eliminating the need for multiple specialized systems while maintaining simplicity
Data Source
AI summary
An operation control system includes: a storing processing part configured to store collected information on abnormality in countermeasure progress information storage parts in which information on an abnormality or countermeasure information on a countermeasure to the abnormality is stored; an equipment abnormality monitor part configured to, when a length of a time period during which the abnormality continues exceeds a prescribed time period, update a state of the abnormality; a countermeasure monitor part configured to monitor a state of the countermeasure, and, when the state of the countermeasure changes, update the state of the countermeasure; and an output processing part configured to change how to output alarm information in accordance with the length of the time period during which the abnormality continues and the state of the countermeasure.


