Proactive Trouble Analysis for Network Reliability
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Solution Overview
Problem
Troubleshooting link problems in communications networks is often inexact due to sporadic or non-repeatable issues, leading to repeated trouble tickets and inefficient use of service provider resources, and customers may perceive a lack of resolution, potentially ending their relationship with the service provider.
Innovation Solution
Implementing a proactive trouble analysis system that receives and prioritizes customer problem reports, flags associated network elements for additional testing and monitoring, and instructs technicians to analyze and repair potential issues before they become major problems, using a computing device with a proactive trouble analysis application to identify and rank trouble tickets for resource allocation and automated or manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive troubleshooting is used to handle customer problem reports, then technicians can respond to actual failures, but repeated trouble tickets indicate inefficient resource use and inability to resolve sporadic link problems
Solution Approach 1:
The system performs preliminary analysis of trouble tickets to identify links with recurring or unresolved problems before they manifest as customer complaints. By proactively flagging and analyzing these links in advance, the system prevents repeat trouble tickets and optimizes resource allocation to addresses root causes rather than responding to each individual failure.
2Measurement precision
If technicians manually diagnose each trouble ticket, then detailed analysis can be performed, but 25% or more repeat tickets indicate systematic diagnostic failures and resource waste
Solution Approach 1:
The system implements feedback loops that analyze trouble ticket histories and automatically identify patterns indicating unresolved or recurring problems. This feedback mechanism allows the system to learn from previous diagnostic attempts and adjust its analysis to better identify root causes, reducing repeat tickets and the time spent on redundant diagnostics.
3Reliability
If customers experience repeated unresolved problems, then they may end their relationship with the service provider, but proactive analysis requires additional system complexity
Solution Approach 1:
The system performs self-service analysis by automatically processing trouble ticket data, identifying patterns, and flagging problematic links without requiring manual intervention. This automation reduces the complexity burden on technicians while maintaining high customer satisfaction through proactive problem identification and resolution.
Data Source
AI summary
Customer problem reports are collected and analyzed in order to monitor, analyze, and proactively prevent the same or similar problems from reoccurring in the future. A selection of customer problem reports are received and may be prioritized for analysis. Associated network elements may be scheduled for monitoring and/or testing at a greater frequency. Network elements may be the subject of new problem reports which may be dispatched to technicians for proactive analysis and repair.