Process Mining Trajectories for Time-Relevant Process Improvement
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Solution Overview
Problem
It is difficult for entities to identify and implement process improvements based on data from similar entities that have already improved their processes, as existing methods struggle to determine valid comparisons and necessary changes, especially when improvements take time to manifest.
Innovation Solution
Process mining is used to analyze a first entity's data and identify reference entities with similar characteristics at an earlier time, determining process changes that led to improvements in those entities, which are then suggested to the first entity for potential enhancements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If process mining is performed to identify similar reference entities for process improvement comparison, then the ability to make informed process changes is improved, but the complexity of data analysis and entity matching increases
Solution Approach 1:
The patent replaces manual process analysis and entity comparison with automated process mining technology. The system automatically discovers processes from event logs, extracts characteristics, identifies similar entities, and recommends improvements without manual intervention, thus reducing information loss while managing complexity through automation.
Solution Approach 2:
The system creates copies of process models and characteristics from reference entities to compare with the target entity. By copying and analyzing process structures, activities, and performance metrics from similar entities, the system can identify improvement opportunities without directly modifying the original processes.
2Productivity
If entities compare their performance to other entities to identify improvement opportunities, then performance improvement potential is improved, but the difficulty of identifying valid comparisons and necessary changes increases
Solution Approach 1:
The patent replaces manual entity comparison and change detection with automated process mining and analytics. The system automatically compares process models, measures performance metrics, identifies similarities between entities, and detects process changes, making the detection and measurement process systematic and scalable.
Solution Approach 2:
The system provides feedback by identifying process changes in reference entities that led to performance improvements and recommending these changes to the target entity. This feedback loop enables continuous improvement by learning from the experiences of similar entities.
3Productivity
If process changes are implemented to improve performance, then performance metric improvement is improved, but the time required to see improvement results increases
Solution Approach 1:
The system performs preliminary analysis by identifying process changes from reference entities before implementing them in the target entity. By pre-identifying and validating improvement opportunities through process mining and similarity analysis, the system reduces the time needed to see results by having a ready-made improvement roadmap.
Solution Approach 2:
The system uses feedback from reference entities' process changes and performance outcomes to guide improvements in the target entity. By learning from the experiences and results of similar entities, the target entity can implement more effective changes that are likely to produce quicker improvements.
Data Source
AI summary
The present disclosure provides techniques and solutions for improving computer-implemented processes. Process mining is performed to identifying processes of a first entity. Characteristics of the first entity at a first time are used to identify a set of reference entities having similar characteristics to the first entity at a second, earlier time. Process mining is performed for the set of reference entities to identify process changes that led to process improvements for the set of reference entities. These process changes are used to suggest process changes to the first entity that may improve performance of the process.