Automated Product Development Data Flow System
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Solution Overview
Problem
Current methods fail to efficiently support data recycling and process flow guidance across different stages of product development, leading to manual data duplication and increased error rates due to the lack of a structured data structure that adapts to varying trial stages.
Innovation Solution
A computer-implemented method defines a structured data object with recipe and formula definitions, trial stages, and object types, allowing users to select and access relevant information based on specific stages, guiding users through the development process with process flow instructions and rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data copying is used for each trial stage, then data can be transferred between stages, but time consumption and error rates increase
Solution Approach 1:
The patent implements automated copying of trial data between stages using a computer-implemented method that automatically transfers data from one trial stage to another, eliminating manual copying operations and reducing both time consumption and error rates
Solution Approach 2:
The system enables self-service data management by automatically managing data flow between trial stages without requiring manual intervention, allowing the system to serve itself in transferring and maintaining data integrity across different development stages
2Ease of operation
If all data are presented to users at each stage, then complete information is available, but information overload and complexity increase
Solution Approach 1:
The patent applies local quality by customizing the data presentation according to the specific trial stage, showing only the data and information relevant to that particular stage rather than all available data, thereby simplifying the user interface while maintaining data accessibility
Solution Approach 2:
The system segments data presentation by trial stage, dividing the overall data set into stage-specific portions that are presented to users based on their current position in the product development process, reducing information overload while ensuring relevant data is accessible
3Adaptability or versatility
If different data structures are used for each trial stage, then stage-specific requirements are met, but system complexity and data management difficulty increase
Solution Approach 1:
The patent implements a universal data structure that can handle multiple trial stages through a single standardized framework, allowing the same data structure to adapt to different stage requirements through configuration rather than requiring separate structures for each stage, thereby reducing overall system complexity
Data Source
AI summary
The invention relates to a computer-implemented method, computer program, computer program product, data structure, and computer for providing automated process flow in product development. A structured data object may be defined comprising at least one recipe and at least one defined formula. Trial stages within said product development are also defined as are object types within said data object referring to said trial stages. An instance of said data object is instantiated from said data object definition. A type of said instance is specified from one of said object types. A user may then be provided said recipe and/or said formula according to the specified type.