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The data generated in testing semiconductors that is available in yieldHUB helps capture the quality and reliability of the products and devices. Having high-quality products prevents rejects and customer returns.
Some tools within yieldHUB that promote quality and reliability include:
Drift Analysis (for burn-in, HTOL and life-test, supporting these key reliability processes).
Sensitivity analysis (e.g. which tests are sensitive to a program or material change?).
Program change detection (how has the program changed between revisions, e.g. any tests missing?).
AEC Parts Average Testing (for automotive).
Good Die in Bad Neighborhood (popular and not just for automotive). Lot Norm (Lot Anomaly) detection for Aerospace.
What is Quality?
Quality is a measurement of how closely your product conforms to customer requirements and expectations and also a measure of the probability that your product will perform as it’s supposed to perform under specific conditions for a stated time-period.
What is reliability?
Reliability represents the wear out over time of a product. High reliability means that the devices have a very low probability of failing within a few years. Most semiconductor devices have lifetimes over many years. However, you cannot wait years to analyse the performance of a device. You have to increase the applied stress to simulate performance later in the life cycle of the device. This accelerates fail mechanisms, helps with root cause analysis, and enables semiconductor companies to take action and prevent failures later in the life of the product. yieldHUB supports the study of these added stresses such as applied in HTOL testing.
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