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Measurement system analysis

Authors: Ashok Sivaji;

Measurement system analysis

Abstract

Semiconductor manufacturers are constantly challenged by increased demand in quality and product customization at lower cost and faster turn around time. Manufacturing engineers need a systematic, fast and reliable methodology to make decisions to ensure that the Measurement System (MS) is in excellent condition. The Measurement System Analysis (MSA) consists of established statistical tools deployed to ensure that the measurement setups are within an acceptable condition to meet manufacturing capabilities and customer requirements. These tools (Linearity, Stability, Gauge Repeatability and Reproducibility (GRR) and Delta Correlation (deltaCor)) were successfully implemented into the MS in Texas Instruments Malaysia (TIM). It also increases TIM's confidence with the MS and customers satisfaction with the quality of parts received. These tools are in compliance with ISO9001 and TS16949 Automotive Standards. Implementation of these tools have dramatically improved first pass yields, detect and fix ATE abnormalities, and speed up setup time [Tilden, 2003].

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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