Electronic Management System for Transaction Error Reporting
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Solution Overview
Problem
Businesses face disruptions due to machines malfunctioning or operating below normal conditions, leading to increased operational costs and production losses, as existing systems lack effective tracking and reporting mechanisms to quickly identify and resolve such issues.
Innovation Solution
The system generates electronic visual indicators and work orders based on incident reports, determining the time required to correct software instruction code errors, and communicates these to identified technicians, utilizing preconfigured criticality factors and transaction processing rates to prioritize corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a machine malfunctions or operates below normal conditions, then operational costs increase and production decreases, but existing systems lack effective tracking and reporting mechanisms to quickly identify and resolve such issues
Solution Approach 1:
The system performs preliminary actions by continuously monitoring machine parameters and pre-configuring criticality factors before actual failures occur. When anomalies are detected, the system proactively generates incident reports and determines corrective time periods in advance, enabling faster response and resolution of machine issues.
Solution Approach 2:
The system implements feedback mechanisms by tracking machine performance parameters, comparing them against normal operating conditions, and generating incident reports when deviations are detected. The system provides continuous feedback on correction progress and updates visual indicators until issues are resolved, enabling rapid identification and resolution of machine problems.
2Productivity
If the system tracks and monitors machine conditions continuously, then machine downtime is reduced, but system complexity increases
Solution Approach 1:
The system applies local quality by assigning different criticality factors to different machines and parameters based on their importance to business operations. This allows the system to focus monitoring and reporting resources on critical machines and parameters, maintaining high productivity while avoiding unnecessary complexity in monitoring non-critical elements.
Solution Approach 2:
The system uses parameter changes by dynamically adjusting monitoring thresholds and criticality factors based on machine performance data and business priorities. This enables the system to adapt to changing conditions and maintain optimal productivity without requiring overly complex fixed-threshold monitoring systems.
3Loss of time
If visual indicators and work orders are generated and communicated to technicians promptly, then error correction time is reduced, but information processing requirements increase
Solution Approach 1:
The system segments information processing by dividing incident data into structured components including incident type, criticality factor, affected machine, and corrective actions. This segmentation enables efficient processing and communication of only essential information to technicians, reducing information overload while maintaining rapid error correction capabilities.
Solution Approach 2:
The system acts as an intermediary by automatically generating and routing work orders to appropriate technicians based on incident characteristics and technician expertise. This intermediary function filters and prioritizes information, reducing the processing load on technicians while ensuring timely delivery of critical correction information.
Data Source
AI summary
Systems and methods for generating a visual indicator based on receiving a report of a transaction processing error, the error comprising an informality in a software instruction code executed during a first attempt to process a transaction. The systems may be configured to determine a preconfigured time period for correcting the software instruction code causing the transaction processing error and compare it to the actual time it took to correct the software instruction code to determine whether the processing error was corrected within the preconfigured time period. The system and method may then generate and communicate a visual indicator based on determining whether the error was corrected within preconfigured time period.