Measurement System Analysis Categorization and Decision Rules
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Solution Overview
Problem
Current measurement system analysis (MSA) lacks a standardized approach, making it inefficient and inconsistent in quantifying measurement variation and determining the capability of measurement systems for manufacturing and design applications.
Innovation Solution
A structured method and system for MSA that categorizes measurement systems based on application, identifies sources of variation, and applies decision rules to determine capability, using Type A and Type B methods to quantify variation and guide decision-making for quality management and product design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a standardized MSA approach is implemented, then consistency and quality of results are improved, but device complexity and implementation time increase
Solution Approach 1:
The MSA system is segmented into distinct functional modules: category determination module, measurement variation quantifying module, decision rule value calculation module, and capability determination module. Each module handles a specific aspect of the analysis, making the overall complex system manageable and implementable while maintaining standardized consistent results
Solution Approach 2:
The system changes parameters by categorizing MSAs into different types (conformity assessment, process analysis, calibration, comparative measurements, process audit) and applying different decision rules and threshold values for each category. This parameter-based approach standardizes results across different measurement scenarios while allowing flexibility through modular implementation
2Measurement precision
If comprehensive measurement variation analysis is performed, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The system performs preliminary categorization of the MSA type before conducting the full analysis. By determining the category first (conformity assessment, process analysis, calibration, etc.), the system can then apply pre-defined decision rules and threshold values specific to that category, streamlining the subsequent variation analysis and reducing overall time requirements
Solution Approach 2:
The system applies local quality by using different decision rules and analysis methods tailored to specific MSA categories and sources of variation. Instead of applying a uniform comprehensive analysis to all measurement systems, the system selectively applies appropriate decision rules (such as %Tol for conformity assessment, %R&R for process analysis) based on the specific category, improving efficiency while maintaining precision
3Reliability
If multiple decision rules and threshold values are applied, then reliability of capability determination is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The MSA system performs self-service by automatically determining the appropriate category, selecting the relevant decision rules and threshold values, calculating decision rule values, and comparing results against thresholds to determine capability. This automation reduces the operational burden on users while maintaining high reliability through consistent application of multiple decision rules across different measurement scenarios
Data Source
AI summary
This disclosure provides a method and system for measurement system analysis (MSA) that present a structured and effective way of performing an MSA. The MSA system and method involves determination of a category of MSA for a measurement system based on an application of the measurement system, a quantification of measurement variation, calculation of a decision rule value based on the quantified measurement variation and a decision rule associated with the determined category, a determination of whether the measurement system is capable of performing MSA for the category based on a comparison of the calculated decision rule value and a decision rule threshold value, and applying a measurement system determined as capable for performing MSA to manage.