Automated Process Design Validation Framework
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Solution Overview
Problem
Current process design validation systems lack automation, requiring manual ratification and lengthy testing to verify process designs against business and technical landscapes, and fail to provide suggestions for improving negative validation results.
Innovation Solution
A method and system that automatically validates process designs against technical infrastructure components, generating suggestions for positive results when negative outcomes occur, by using a validation framework that listens for changes and communicates logical queries to infrastructure controls for results and potential remedies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual ratification and testing are used to validate process designs, then validation thoroughness is improved, but testing time and effort increase significantly
Solution Approach 1:
The patent replaces manual ratification and testing processes with an automated validation system that uses machine learning models and algorithms to validate process designs against business and technical landscapes, thereby reducing testing time while maintaining thoroughness through systematic automated checking
Solution Approach 2:
The patent introduces a validation system as an intermediary between process design creation and final approval, which automatically analyzes process designs using trained machine learning models to assess compliance and generate validation reports, eliminating the need for lengthy manual testing
2Extent of automation
If current validation systems are used, then basic validation capability is provided, but automation capability is lacking
Solution Approach 1:
The patent replaces manual validation operations with automated machine learning-based validation systems that continuously learn from validation data and automatically assess process designs, providing high-level automation that significantly reduces human effort and time investment
Solution Approach 2:
The validation system performs self-improvement by continuously training machine learning models on validation results, enabling the system to automatically enhance its validation capabilities over time without requiring manual reconfiguration or additional human expertise
3Loss of information
If traditional validation approaches are used, then validation results are obtained, but suggestions for improvement are not provided
Solution Approach 1:
The patent implements a feedback mechanism where the validation system not only assesses process designs but also generates actionable suggestions and recommendations based on validation results, using machine learning models to identify improvement opportunities and guide process design optimizations
Solution Approach 2:
The validation system acts as an intermediary that translates validation results into constructive feedback and suggestions, bridging the gap between validation outcomes and process design improvements by providing specific, actionable recommendations
Data Source
AI summary
A method and system for process design validation is provided. A process validation is first triggered. A process design is evaluated against a technical infrastructure component and if a non-positive result is achieved as a result of process design validation, suggestions are generated in order to achieve a positive result.