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dataPOWER®
Core
The dataPOWER Core product offering consists of a comprehensive
database management and analysis system, engineered
to provide extensive capabilities to semiconductor engineers
and managers.
Integrated
Database
dataPOWER's integrated database is a multi-threaded
relational database that is the backbone of the dataPOWER
data and yield management system. To optimize productivity,
it is necessary to organize, sort, and pinpoint data
throughout the entire production continuum. dataPOWER
takes any data from throughout the manufacturing process
(from fab to final test) aligns, organizes and stores
the data, and presents it in formats that allow users
to analyze yield and production issues quickly, using
variety of dataPOWER analysis tools. Using dataFLOW's
integration with the database, users can control and
automate the flow of data from all fab and test sites
into the central server. All transfers are verified
and tracked for full accountability with the dataPOWER
data configuration and retrieval tools.
Statistical
Library and Analytical Tools
dataPOWER a powerful and capable statistical library
to handle the needs of the most demanding yield management
challenges from descriptive statistics to statistical
modeling tools and advanced tools.
Descriptive
statistics library includes:
• Multiple
Histograms
• Single
Histogram
• Boxplot
• Pareto
Analysis
• Capability
Analysis (Cp, Cpk and CpkN)
• Yield
Analysis
• Scatter
Plot
• Correlation
Analysis
• Process
Capibility Study
• Cumulative
Probability
• Analysis
of Variance (ANOVA)
• Trend
Chart
Statistical
modeling library includes:
• Multiple Linear Regression
• Factorial
ANOVA
• Nested
ANOVA
Interactive
Reports:
• Min / Max Incidence Summary
• Best Case / Worst Case Analysis
• Custom Summary Report (user-defined statistics)
• Delta Calculation Report (user-defined statistics
and sub grouping)
Quickly
and effectively summarizing large amounts of data is
a crucial step in statistical data analysis. Exactly
what information needs to be processed is a function
of the user, the situation being analyzed and the target
audience. It is essential to clearly, concisely and
consistently present information based on the analysis
of the data.
Some
of the available reports include:
•
Min / Max Incidence Summary
• Best Case / Worst Case Analysis
• Summary Report (user-defined statistics)
• Delta Calculation Report (user-defined statistics
and sub grouping)
The Custom Summary Report makes more than fifty statistics
available to summarize data. These are selectable in
any combination and in any sequence. Reports can be
saved in the database, and sorted on any field. Included
are common descriptive statistics (mean, standard deviation,
min., max., etc.), robust statistics (trimmed mean,
quantiles, MAD), normality checks (skewness, kurtosis,
Anderson-Darling test statistic), production statistics
(capabilities, limits, margins, yields), as well as
user-definable functions for additional flexibility.
Custom report configurations can then be saved for later
use. All saved report types can be run in batch mode.
The
Delta Calculation Report summarizes the delta of more
than fifty statistics for all selected parameters, based
on selected indices. For example, the delta of the mean
and standard deviation for a timing parameter can be
reported across two or more temperatures.
dataPOWER
Core Advanced Tools
Product Sensitivity Analysis (PSA)
compares PCM data to wafer sort parametric data for
the product die that surround each PCM site, enabling
the comparison of PCM and wafer sort parameter distributions
to identify the sensitivity of product circuits to discrete
device parameters.
Reject
Oriented Analysis (ROA)
a powerful tool used to develop and optimize test strategies
through test sequencing, guard banding, and test elimination.
ROA identifies the few tests in a group of parameters
that can determine the majority of failures.
Measurement
System Comparison (MSC)
allows users to perform a controlled experiment to analyze
the repeatability and reproducibility of test measurements.
MSC provides statistical analysis capabilities to examine
measurement variances that can occur between different
systems or when repeating measurements on the same system.
yieldOPTIMIZER
a comprehensive analysis performed across a selected
group of programs, lots, or wafers, to evaluate yield
and binning trends. The two primary yieldOPTIMIZER charts
are Bin Stacking and Lot Trend.
yieldOPTIMIZER
includes:
- Yield
Report —interactive report that plots
bin statistics (y1 .y5, m, d0) or bin results at the
technology, process, product, program and lot level.
- Yield
Summary Report — summarizes yield,
defect density, dollar variance, probe scrap, test
time and other related parameters at the technology,
family, product, program or lot levels. The report
provides drill-down links to diagnostic charts and
reports, such as the Trend, waferMAP, and Bin Stack
tools.
- Lots
Tested Report — provides a quick overview
for a series of lots. The report contains a stacked
bar chart with bars representing binning percentages
by lot. Also, a gallery of binMAPs illustrates binning
numbers according to the device location on the wafer.
-
Zonal Report — queries the
database for zonal anomalies, and produces charts
displaying test data to help analyze zone-dependent
production issues on a wafer.
- PCM
Summary Report — summarizes raw PCM
data at lot, wafer, and site level to identify and
summarize failing wafers, lots and tests. The report
output consists of two analysis worksheets: one with
wafer-level summary data and one with lot-level summary
data.
dataPOWER® Reporting Tools
Web-based reporting, file management, batch processing and presentation tools provide simple, fast methods for users and managers to share information.
Journal
Journal provides an excellent mechanism for presentation sharing and collaboration of data, results and reports with peers and managers within the organization as well as suppliers and customer outside of the organization.
As you work in the dataPOWER environment, Journal enables you to copy and store multiple dataPOWER charts and worksheet images in a separate file. You can then edit your journal file, add text, and create a presentation quality document in HTML (hypertext markup language) or Word format.
dataPOWER® Mapping Tools
waferMAP
waferMAP is an innovative wafer mapping and wafer zonal analysis software system. It offers the tools to make multiple types of advanced wafer analyses for test, product, and process engineers. The system is used to target issues such as non-uniform processing of wafers, mask or reticle problems, and wafer probe and processing problems.
Wafer mapping provides an intuitive graphical interpretation of metrology, PCM, bin and parametric test data. Through parametric and bin wafer mapping, a complete overview of the information in your data can be graphically represented and analyzed on the physical layout of the wafer. This allows you to swiftly detect, isolate, correlate and ultimately eliminate wafer-dependent issues. waferMAP offers an indispensable visual perspective of your wafer data by providing the ability to perform in-depth correlation of electrical test results to in-process inspection parameters.
Visual and statistical zonal analysis is provided by column, row, quadrant, circular zones, radial zones, and stepper fields. This enables the fast isolation of key areas of sensitivity.
Interactivity within all views allows test results to be examined and correlated from a variety of perspectives.
waferMAP features include:
• Parametric Wafer Maps
• Bin Maps
• Yield Maps
• Mathematical and Graphical Zonal Analysis
• Multiple Parametric or Bin Maps
• Composite (stacked) Maps
• Integrated Histograms
• X-Bar-S Charts by Zone
• Die Yield Maps
• ANOVA by Zone
dataPOWER® Characterization Tools
dataPOWER characterization tools optimize process capabilities and product performance by evaluating parameters based on lot splits, voltage, temperature, wafer, stored parametric statistics, pattern stability, and single and multi-dimensional condition analysis.
Characterization Report
Two-Index Characterization Report -allows a parameter to be simultaneously viewed as a function of two independent variables (e.g. temperature and supply voltage). Trends in mean, standard deviation, min. and max. can be summarized.
Temperature Characterization Report — allows you to quickly and easily chart parameter shifts over temperature and across burn-in. The boxplot graph provides an overall parameter distribution spread relative to the temperature and burn-in test levels. Capability at each level is also calculated and reported.
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