Production Site Manager System for Deviation Alerting
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Solution Overview
Problem
Current software applications for production site management are often underutilized due to unnecessary information and distractions, leading to potential delays and failures in meeting daily objectives at complex production sites like construction or mining sites, where personnel are too busy to prioritize planning and monitoring.
Innovation Solution
A production site manager system that predicts daily objectives based on historic data and real-time information, providing deviation alerts only when necessary to minimize distractions and offering actionable insights to ensure objective fulfillment, and confirming objective achievement at the end of the shift to avoid unnecessary disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current software applications provide comprehensive monitoring and information to personnel, then complete information about production site status is available, but personnel are disturbed with unnecessary information and requests for attention
Solution Approach 1:
The system extracts only the essential information needed for decision-making from the comprehensive monitoring data. It filters out unnecessary information and presents only critical deviations and actionable insights to personnel, thereby maintaining information completeness while eliminating distractions.
Solution Approach 2:
The system applies different information presentation strategies based on the specific context and deviation type. Critical deviations receive immediate attention with detailed information, while normal operations receive minimal or no information, optimizing the information quality delivered to personnel in different situations.
2Speed
If personnel focus on firefighting obstacles at the production site, then immediate response to critical issues is improved, but planning and monitoring tasks are neglected
Solution Approach 1:
The system performs automated monitoring, analysis, and alerting without requiring continuous personnel intervention. It independently tracks production objectives, detects deviations, and notifies personnel only when action is needed, allowing personnel to focus on field operations while the system handles monitoring tasks.
Solution Approach 2:
The system provides continuous automated feedback on production status and objective fulfillment. This enables personnel to maintain focus on critical field tasks while the system reliably monitors and reports on overall production goals, ensuring both rapid response and objective fulfillment.
3Measurement precision
If comprehensive monitoring is performed continuously, then all deviations are detected promptly, but personnel are disturbed frequently with alerts
Solution Approach 1:
The system performs continuous comprehensive monitoring but only triggers alerts for partial cases - specifically when deviations exceed predefined thresholds or represent critical issues. This maintains high detection accuracy while avoiding unnecessary disturbances for minor or expected variations.
Solution Approach 2:
The system dynamically adjusts alert thresholds and notification parameters based on production context, historical data, and deviation severity. This optimization ensures that alerts are generated with high precision for truly significant deviations while minimizing false or unnecessary notifications that would consume personnel time.
Data Source
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AI summary
The present invention relates to a method performed by a production site manager system (110) for handling an objective associated with performance at a production site (100). The system obtains a request to handle the objective on behalf of a human production site manager (105). When the request has been obtained, the system predicts the objective for the performance at the production site. The system obtains real time information of performance at the production site. The system compares the real time information with the objective. When a result of the comparing indicates a deviation, the system provides, at a first time instance, deviation information indicating the deviation. When the result of the comparing does not indicate the deviation, the system provides, at a second time instance, confirmation information indicating that a conformation of that the production site meets the objective.