Dynamic Multi-Factor Ranking for Problem Report Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In large enterprise networks with remotely managed systems, prioritizing problem reports is complex due to numerous and changing factors such as problem severity, user impact, and duration, which conventional multi-factor ranking methods fail to adapt to dynamically.
Innovation Solution
A dynamic multi-factor ranking approach is implemented within a remote network management platform, allowing customer support management personnel to select and adjust ranking factors and weights based on current circumstances, enabling intelligent and flexible prioritization of problem reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional multi-factor ranking methods are used to prioritize problem reports, then the ranking process is simple and static, but it cannot adapt to changing factors such as problem severity, user impact, and duration in dynamic network environments
Solution Approach 1:
The patent implements dynamic multi-factor ranking by allowing the selection and weighting of ranking factors to change over time based on current circumstances. The system dynamically adjusts which factors (such as problem severity, user impact, duration) are considered and their relative importance, enabling adaptation to evolving network conditions while maintaining a structured ranking approach.
Solution Approach 2:
The system enables parameter changes by allowing customer support management personnel to select and adjust the weights of different ranking factors based on current circumstances. This includes changing the importance of factors like problem severity, user impact, and duration dynamically, rather than using fixed parameters, thereby achieving adaptability without requiring complete system redesign.
2Measurement precision
If multiple factors are considered for problem report prioritization, then the prioritization becomes more comprehensive, but the complexity of determining servicing order increases
Solution Approach 1:
The patent applies segmentation by breaking down the complex prioritization process into distinct, selectable ranking factors (such as problem severity, user impact, duration). Each factor can be independently weighted and adjusted, allowing comprehensive consideration of multiple aspects while maintaining manageable complexity through modular factor selection and weighting.
3Adaptability or versatility
If fixed ranking factors are used in multi-factor ranking models, then the model is simple to implement, but it cannot respond to changing circumstances and judgments of customer support management personnel
Solution Approach 1:
The system enables dynamic configuration of ranking factors and their weights, allowing customer support management personnel to adjust the model based on changing circumstances and judgments. This dynamic capability responds to evolving network conditions while maintaining ease of operation through a user-friendly interface for factor selection and weight adjustment.
Data Source
AI summary
A computing system and method dynamic multi-factor ranking for prioritizing tasks, and in particular, tasks relating to servicing of problem reports in a managed network, is disclosed. The computing system may be disposed within a remote network management platform and be configured for management of problem report sent from reporting stations in the managed network. The computing system may thus receive a plurality of problem report messages from one or more reporting stations, and may then compute a multi-factor ranking of the messages based on dynamically selected factors associated with each message. The multi-factor ranking may then form the basis of a prioritized list of the messages, and the prioritized list may be displayed on a display device of the computing system. The prioritized list may thus provide a basis for prioritizing tasks related to servicing the reported problems.