Presented by: Andrew Choo, Sr. Yield Engineer, TriQuint Semiconductor TIBCO Spotfire and Teradata: First to Insight, First to Action; Warehousing, Analytics and Visualizations for the High Tech Industry Conference July 22, 2013 The Four Seasons Hotel Palo Alto, CA

1. Yield Improvement Through Data
Analysis using TIBCO Spotfire
Presented by:
Andrew Choo Sr. Yield Engineer

2. Introduction to TriQuint
• Design and Manufacture of high-performance radio frequency (RF)
components for wireless communication.
• Cell Phones, WiFi, Military and even the Mars Rover
• Technology is based on Gallium Arsenide (GaAs) semiconductor.
• Spin-off from Tektronix in 1985.
• Currently about 2700 employees worldwide.
• Manufacturing sites in Oregon, Texas, Florida and Costa Rica.
• NASDAQ ticker: TQNT
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3. Manufacturing Operations
• Wafer Fabs: Clean rooms for processing 6” wafers, Building “chips” on wafers,
layer by layer
• Test: Electrical testing of test structures (Process Control Monitors) and chips
on wafer (Diesort)
• Thin and Saw: Wafers are thinned to thickness of paper and cut up using
diamond saws
• Product Final Test: “Chips” are assembled into final products and tested for
performance.
• Manufacturing Output: Products and Data!
Generate about 60 Gbytes per week…
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4. KEY Manufacturing Metric
• YIELD = Percentage of products meeting
TriQuint quality and performance standards
that can be delivered to customers.
• Primary driving factor for top line revenue
• With complex manufacturing processes,
there are 10,000 ways to fail and it becomes
critical to react quickly and correct problems
that affect Yield.
• When Yield excursions occur:
– Need to extract and analyze large
amounts of data.
– Determine ROOT CAUSE.
– Implement corrective actions to
eliminate future occurrences.
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5. Data Analysis
• TIBCO Spotfire has become TriQuint’s standard tool for Data Analysis.
• Deployment started in 2004 with 5 user license.
• Current deployment is World Wide.
• Integrated with production databases for ETL and Data Mash-ups.
• Used in “live” mode during meetings to view and analyze data.
• Build and Deploy “Analysis Dashboards”:
• Preconfigured analysis files for different types of data.
• Data Drill Down methodology with load data on demand
• Flexible, insightful analytics for everyone.
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Let’s Take a Look! …

6. Benefits
• Huge improvement in turn around times in
analysis of problems from weeks to hours.
• Shift in how problems are solved and the
way engineering approaches data analysis.
– Focus on the problem and what the data
means, not where and how to get the data.
• Achieving Yield Goals:
– We set a goal of > 96% for product yields in
2006. We met and exceeded this goal by 2008.
– Recognized significant revenue from yield
improvement efforts.
http://www.triquint.com/contacts/press/newsanddiscoveries_detail.cfm?id=221
“Make decisions based on Data”
David Pye, Operations VP
$1.00
chip *
10k chips
wafer
2k wafers
month*
= $1.2M/qtr2% Yield*
Yield Improvement translates to Cost Savings.

7. End of Presentation

8. Cover Page

9. Overview

10. Overview (by Product)

11. Product Yield Overview

12. Yields by Product / Wafer

13. Pass/Fail Wafer Maps

14. Wafer Pattern Grouping

15. Fail Pareto Map

16. Test Trend Chart

17. Yield vs Process Tool