ATE data collection - a comprehensive requirements proposal to maximize ROI of test

ATE customers are increasingly viewing a tester that does not facilitate easy and consistent access to the test data as a barrier to their profitability. The data is needed towards various ends like, statistical post processing (SPP) for die binning, reliability improvement, burn-in elimination, pro...

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Hauptverfasser: Rehani, M., Abercrombie, D., Madge, R., Teisher, J., Saw, J.
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Abercrombie, D.
Madge, R.
Teisher, J.
Saw, J.
description ATE customers are increasingly viewing a tester that does not facilitate easy and consistent access to the test data as a barrier to their profitability. The data is needed towards various ends like, statistical post processing (SPP) for die binning, reliability improvement, burn-in elimination, process/yield improvement, adaptive control, product characterization, test floor statistical process control (SPC), calibration & test repeatability to name a few. subcontractor & foundry manufacturing have only increased the complexity of the task. The main premise of This work is that: "Taking the measurement" is the ATE vendor's expertise, "Evaluating the measurement" is the customer's expertise and we have a proposal to clear the confusion and maximize the ROI of test. The paper discusses the current "state-of-the-art " in terms of data collection, illustrates the windfall of benefits reaped from utilizing the ATE data and presents a proposal on how to improve the situation.
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subjects Adaptive control
Applied sciences
Automatic testing
Calibration
Electronics
Exact sciences and technology
Large scale integration
Logic testing
Process control
Profitability
Proposals
Statistical analysis
System testing
Testing, measurement, noise and reliability
title ATE data collection - a comprehensive requirements proposal to maximize ROI of test
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