yieldPower
Statistical Analysis

Automated Test Equipment tests whether parts failed or passed a test. During the test process, large amounts of data are collected and saved for statistical analysis. By analyzing this data, production errors can be detected at an early stage and corrected accordingly.

With yieldPower it is possible to do statistical analysis on data, which is generated by automated test equipment.
yieldPower is a desktop based application which is ideal for use by engineers on the work floor or test engineers in a fabless environment.

 

Statistical Process Control

yieldPower uses methods which are part of Statistical Process Control (SPC). SPC allows users to analyze production information and apply those results for production control. The combination of reading and analyzing ATE tester data, combined with SPC analysis, makes yieldPower the ideal software tool for the ATE industry.

Using yieldPower for statistical analysis

STDF and CSV Data Input
yieldPower uses STDF or CSV formatted input.

  • The STDF data format, which was developed by Teradyne, is the de-facto standard widely used throughout the ATE industry.
  • CSV is known as comma separated file format. It can be handled by most spreadsheet programs.
Showing Raw Data
Load a dataset into yieldPower and view its data in the raw data table.
With filter settings it is possible to select only important tests and have their results displayed.
Outlier Detection
Tests are displayed one per row, with each die's results for the particular test.
Outliers calculated using the Tukey Method are highlighted in red.
Data is editable for outlier marking and changing of test results
.
Statistical Results
Statistics such as Mean, Median and Average, are calculated.
In addition typical Process Control values like Cp and Cpk are available.

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