Companies can now do full Assembly Variation Analysis with tolerance analysis software.Īssembly variation analysis provides insight required to identify the key part characteristics, (KPCs) that must be controlled in order to produce a product that meets the expectation of the customer. 1D, 2D, and 3D, can be created with no restriction on distribution type or quality level. This method eliminates the limitations stated above. One such method that is incorporated into CETOL 6 Sigma is called the Method of System Moments. Given the limitations of RSS, other methods for calculating assembly variation have been developed. This approach requires distributions to be normal with all parts at the same quality level, i.e. Comparing the assembly standard deviation to the assembly limits allow for the calculation of quality metrics like sigma, % yield, DPMU, etc. Statistical analysis (also called variation analysis) can be used to predict the actual variation of an assembly based on the variation of the part dimensions. Worst-case analysis (also called tolerance stack-up analysis) can be used to validate a design. It is important to understand that the inputs values for a worst-case analysis are design tolerances, but the inputs for a statistical analysis are process distribution moments (e.g., standard deviation). Instead of summing tolerances, as in worst-case analysis, statistical analysis sums dimension distributions. ADAS (Advanced Driver Assistance System).
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