Stage Pipeline Generation Using Transition Cost Minimization
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Solution Overview
Problem
As the number of protocols for processes like hiring personnel increases, it becomes increasingly difficult to determine the most commonly used method, making it challenging to outline a path that represents the most effective approach.
Innovation Solution
A computer-based method that generates and evaluates a pipeline of stages by converting data sets into stage transition data, determining a root stage, and sequentially adding stages to minimize a cost function, which favors downstream transitions and penalizes upstream and excluded transitions, to identify the most frequently used path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of protocols for processes like hiring personnel increases, then the coverage and comprehensiveness of the process improve, but it becomes increasingly difficult to determine the most commonly used method
Solution Approach 1:
The patent introduces an intermediary computational system that processes protocol data to identify the most commonly used method. This intermediary (the computer-based system) mediates between the increasing number of protocols and the need to determine the most common method, automatically analyzing protocol frequencies and generating the optimal pipeline without requiring manual analysis of each protocol variation.
Solution Approach 2:
The patent creates a simplified copy or representation of the complex protocol data in the form of a pipeline of stages. Instead of directly analyzing all protocol variations, the system generates a representative pipeline that captures the essential sequence of stages from the most commonly used method, making the information more manageable and interpretable.
2Adaptability or versatility
If multiple different sets of stages are executed to complete a process, then the flexibility and adaptability of the process improve, but the complexity of identifying the optimal path increases
Solution Approach 1:
The patent employs feedback mechanisms where the system analyzes execution data from multiple protocol occurrences and uses this feedback to identify patterns and determine the most commonly used method. The feedback loop continuously refines the pipeline identification by comparing actual protocol executions against the identified optimal path, improving accuracy over time.
Solution Approach 2:
The patent changes the parameter of analysis from examining individual protocol variations to analyzing stage transition frequencies. By transforming the data into a format that counts and compares stage sequences across multiple protocols, the system makes it easier to identify the optimal path through statistical analysis of stage co-occurrence patterns.
Data Source
AI summary
An example method for gathering a plurality of data sets for a particular process is provided. Each data set indicates transitions between different stages for a corresponding occurrence of the particular process. The method includes generating stage transition data based on the plurality of data sets. The stage transition data indicates an aggregate value for each distinct transition. The method includes determining a root stage based on the plurality of data sets. The method includes selecting each additional stage in the pipeline of stages. Each additional stage is sequentially selected based on a dynamically determined path constructed to reduce a value of a cost function. The method includes selectively modifying the pipeline of stages responsive to detecting an improvement to the value of the cost function. The method also includes generating a command to perform the particular process using the modified pipeline of stages.