Dynamic Troubleshooting Chart Prioritization
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Solution Overview
Problem
Existing troubleshooting charts are inefficient as they often direct users to perform unsuitable or overly basic solutions, and different users may find different solutions applicable due to varying technical backgrounds and environmental conditions, leading to inefficiencies in maintenance processes.
Innovation Solution
A method and system that prioritize maintenance corrective actions in a troubleshooting chart by incrementing counters for successful actions and displaying them in hierarchical order based on user input, tailoring the chart to individual users and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If corrective actions are listed in a fixed order in troubleshooting charts, then the chart structure is simple and easy to manufacture, but the chart cannot adapt to different users and environmental conditions, reducing maintenance efficiency
Solution Approach 1:
The troubleshooting chart transitions from a static fixed-order list to a dynamic structure where corrective actions are reordered based on counter values that reflect user feedback and success rates. The system continuously adapts the presentation order of solutions based on accumulated data from multiple users
Solution Approach 2:
The system implements feedback loops where users indicate successful corrective actions, and this feedback is used to increment counter values. These counters then influence the reordering of corrective actions in the chart, creating a self-improving system that learns from user experiences
2Loss of time
If users work through all corrective actions in sequence, then comprehensive troubleshooting is performed, but time is wasted on basic or clearly inappropriate solutions
Solution Approach 1:
The system performs preliminary sorting of corrective actions based on counter values before users begin troubleshooting. This pre-ranking presents the most promising solutions first, based on historical success data from other users, so users don't need to work through ineffective solutions sequentially
Solution Approach 2:
The system changes the parameter used for ordering corrective actions from a fixed sequential index to a dynamic counter value that reflects empirical success rates. This parameter change allows the chart to prioritize solutions based on actual effectiveness rather than arbitrary ordering
3Productivity
If the troubleshooting chart is customized for different users and environments, then maintenance efficiency improves, but the system complexity increases due to data collection and processing requirements
Solution Approach 1:
The system automatically collects feedback data from users and performs self-updating of counter values and corrective action ordering without requiring manual intervention. The chart maintains and updates itself based on user inputs, reducing the need for manual customization while still providing personalized experiences
Data Source
AI summary
Methods and systems are provided for prioritizing a plurality of maintenance corrective actions in a troubleshooting chart for a device are provided. The method includes receiving, by a processor, an input from a user indicative of a successful corrective action from the plurality of corrective actions on the troubleshooting chart and incrementing a value of a counter associated with the successful corrective action. The processor then compares values for counters associated with each of the plurality of corrective actions and displays the plurality of corrective actions in hierarchal order based on the values of the counters.