Recipe Report Card Framework for Semiconductor Substrate Processing
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Solution Overview
Problem
In the semiconductor industry, creating and modifying recipes for substrate processing is complex and often dependent on the skill and experience of engineers, who must consider various variables, leading to inefficiencies and costly misdiagnoses of issues, with hardware problems often being incorrectly assumed as the cause.
Innovation Solution
A computer-implemented method integrating multiple data sources into a 'recipe report card' framework, providing a user-friendly system for evaluating recipes, including graphical displays, criteria, ranges, and an expert guide for analysis, collaboration, and troubleshooting, which reduces reliance on individual expertise and facilitates data integration and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If engineers rely on their skill and experience to create and modify recipes, then recipe quality may improve, but the process becomes dependent on individual expertise and is difficult to standardize
Solution Approach 1:
The patent creates a standardized recipe framework that captures and replicates expert knowledge in a systematic format. Instead of relying on individual engineers' experiences, the framework provides a copyable template with defined variables, relationships, and evaluation criteria that can be consistently applied across different users and situations, thereby standardizing recipe creation while maintaining quality.
Solution Approach 2:
The patent transforms the abstract concept of engineer expertise into concrete parameters and variables within the recipe framework. By defining specific parameters with acceptable ranges, relationships between variables, and evaluation criteria, the system converts subjective expert judgment into objective, measurable parameters that can be systematically managed and replicated.
2Measurement precision
If engineers manually analyze collected data to modify recipes, then detailed analysis is possible, but the process is time-consuming and dependent on engineer skill
Solution Approach 1:
The patent implements an automated feedback mechanism where the system collects process data, compares it against the recipe framework and evaluation criteria, and provides guidance on modifications needed. This automated feedback loop eliminates the need for manual data analysis by engineers, providing rapid, consistent evaluation while maintaining analytical rigor through predefined criteria and relationships.
Solution Approach 2:
The system performs self-analysis by automatically evaluating collected data against the recipe framework's predefined criteria, variables, and relationships. The framework enables the system to self-diagnose issues and suggest modifications without requiring external engineer intervention for data analysis, thereby reducing time consumption while maintaining precision through systematic evaluation.
3Productivity
If hardware issues are assumed as the cause of recipe execution problems, then debugging can begin quickly, but misdiagnosis occurs frequently leading to wasted time and resources
Solution Approach 1:
The patent inverts the traditional debugging approach by first evaluating the recipe itself against collected data and predefined criteria before assuming hardware issues. Instead of jumping to hardware diagnostics, the system systematically checks recipe variables, relationships, and parameters first, thereby reducing misdiagnosis while maintaining efficient problem-solving through structured evaluation.
Solution Approach 2:
The patent performs preliminary evaluation of the recipe framework against execution data before proceeding to hardware debugging. By pre-defining evaluation criteria, variable relationships, and acceptance ranges, the system conducts a preliminary assessment that identifies recipe-related issues early, preventing wasted time on incorrect hardware diagnoses and enabling faster, more accurate problem resolution.
Data Source
AI summary
A computer-implemented method for performing recipe evaluation is provided. The computer-implemented method includes integrating a plurality of data sources into a single recipe report card framework. The recipe report card framework includes an editor for interacting with the plurality of data sources. The computer-implemented method also includes displaying a plurality of graphical displays. Each graphical display of the plurality of graphical displays is configured to present a signal parameter of a set of signal parameters for at least a substrate. The computer-implemented method further includes providing a plurality of criteria for each of the set of signal parameters. The computer-implemented method yet also includes providing a plurality of ranges for the each of the set of signal parameters. The computer-implemented method yet further includes providing an expert guide, which is configured to provide guidance in analyzing a recipe.