With escalating demands for higher quality semiconductor devices paralleled by the growing complexity in chip design that generates billions of test data points, engineers are under constant pressure to shorten the product learning process.

EXACT serves as a turbo-charged, Big Data analytics engine on top of the Optimal+ Semiconductor Operations platform, helping you to expedite the process and exceed your quality and yield targets, while actually lowering the overall cost of test.

Set test limits with greater accuracy

EXACT helps engineers to better understand the validity of their test program limits and affords far greater flexibility in fine-tuning them: Avoid unnecessary escapes due to limits that were set too wide; reduce yield loss due to overly tight test limits; calculate yield impact before a change in test limits is deployed.

 

Define precise test entrance criteria

Knowing what to look for is often half the battle. The high volume data analytics provided by EXACT helps engineers to make more informed decisions in how to fine-tune their needle-in-a-haystack queries for detecting process or equipment related issues.

 

Quickly identify highly correlated test pairs

The EXACT correlation application provides additional opportunities for both test time reduction (TTR) and identifying bivariate/multivariate outliers. Lightning-fast data processing enables you to automatically correlate extremely large numbers of tests across multiple test phases. Once the top correlated matches have been identified, the output of the correlation can be published as a rule across the entire supply chain.

 
How It Works
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High Volume Data driving High Volume Manufacturing

We’re introducing EXACT not just as a means of handling greater volumes of data and accelerating the analytic process, but because we believe we can bring about a fundamental change in the manner in which semiconductor companies define and execute their testing strategies.

We believe that by applying the combination of our real-time infrastructure deployed in the supply chain with a big data engine, customers can dramatically improve quality while simultaneously building more cost-effective and efficient test strategies.

Examples

Limits Application
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Correlation Application
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Test Entrance Criteria
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