Customizable yield management for IC manufacturers 

YieldManager® is a customizable yield-management software system that helps integrated circuit (IC) manufacturers achieve and maintain high yields by allowing engineers to collect, correlate, analyze and share critical data. Data types include defect, review, binsort, bitmap, parametric, MES and final test. YieldManager combines high-level correlations of disparate data sources with the rapid drill-down of data scope to expedite root cause identification, saving engineering time and focusing resources. Utilizing a unified database, YieldManager eliminates the need to maintain multiple client-server applications throughout the fab. This reduces the cost of, and simplifies, the IT infrastructure by providing a single, robust and industry-proven solution for the entire wafer fab.

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YieldManager is part of the yield management product portfolio originally developed by Knights Technology. The Knights product line was acquired by Synopsys as part of its acquisition of Magma in 2012.

  • Implement a complete wafer fab solution with a single unified database
  • Expedite root cause identification. YieldManager facilitates the correlation of all types of fab data, making it easier to differentiate between symptoms and probable root causes of yield problems
  • Improve productivity through automated analysis. Analytical processes can be captured by YieldManager using its VB Script recording, editing and execution features. Reports can be customized and output to a variety of formats, including HTML and Microsoft PowerPoint®
  • Ensure data security. YieldManager 5 introduces a three-tier system approach that gives administrators powerful and versatile tools to control data flow
  • Reduce infrastructure costs with a single, reliable database solution

Reduces the Time Required to Resolve Yield Problems
Effective yield analysis requires powerful management of data from disparate sources and the ability to quickly distinguish probable root causes from symptoms. Such a solution must enable rapid correlation of various data types with meaningful statistics and graphical presentation. YieldManager provides a common data framework that permits consistent analysis methods throughout the fab, empowering multiple teams to collaborate effectively.

Yield Manager automate decision analysis, defect to bin probe correlation maps
Figure 1: Yield Manager automate decision analysis, defect to bin probe correlation maps

YieldManager’s single unified database and infrastructure provides a robust, consolidated and secure data system that simplifies maintenance, yet is scalable to increasing demands.

Data Storage Security and Stability
The production-proven YieldManager data system is built on the Oracle platform and runs in a UNIX environment with field-proven stability. Included in YieldManager is a comprehensive and expanding assortment of loading tools to interpret most data formats. YieldManager has added a new level of security with a server-based utility that gives system administrators more control and flexibility using genuine domain authentication.

view of a range of review data
Figure 2: Interactive stacked or a gallery of wafer maps provide a single view of a range of review data

YieldManager Architecture Highlights
  • Multi-tier client server architecture supports performance and hardware scalability
  • Open database architecture with documented access
  • Multi-tier component-based architecture built on Microsoft technology to allow plug-and-play of functional modules to achieve function and feature scalability
  • Hardware platform independence provides flexibility and enables utilization of next-generation IT systems including SAN, gigabit and multiprocessor systems
  • Database schemes and designs handle throughput requirements of the future
  • Open architecture, standard communication protocols and data conversion tools enable easy connectivity with a variety of data equipment from multiple sources within a fab’s manufacturing infrastructure

Powerful Interface
With YieldManager, any data condition can be virtually included, excluded, or compared including split lots, process tool, die-based zone, high-low yield and groups, enabling quick and easy identification of the source of a problem. Throughout an analysis session, data selection can be further refined with simple point-and-click selections to isolate distinct yield loss sources.

Powerful charting
Figure 3: Powerful charting engine presents data in an interactive and highly customizable format

Defect Analysis
Interactive stacked or a gallery of wafer maps provide a single view of front scan, back scan, edge inspection and SEM review data. Defect density and intensity maps enable hot spot analysis (Figure 2). Standard communication protocols and data conver- sion tools enable easy connectivity with over 100 inspection tools and a variety of data equipment from multiple sources. Intuitive customizable data summaries include features such as zoom-in, bird view, reclassification, signature patterns based on inspection layer, zones, killer classification and more.

Enhanced Charting and Reporting Engine
A powerful charting engine presents data in an interactive and highly customizable format. Chart types can be easily designed using intuitive, drag-and-drop features that make multiple methods of analysis easy. Frequently used charts and preferences can be saved to further streamline analysis. Intuitive chart formulas, chart thumbnails and data explore features are also available.

Interactive Lot, Wafer and Defect Extraction Reports
Users can easily create reports using an intuitive drag-and- drop interface with user-defined templates. YieldManager supports multiple export formats including Excel, HTML, and PowerPoint.

Wafer and die based regional analysis
Figure 4: Wafer and die based regional analysis

Defect Source Analysis and Yield Maps
Figure 5: Defect Source Analysis and Yield Maps

Automation Module
Capturing and sharing routine analysis saves time and promotes consistency. Workflows integrating charts, wafer maps, reports and image galleries can be created quickly and easily using the powerful, intuitive graphical interface. Users can create data-independent workflows of customized, complex analyses that can automatically follow conditional pathways when triggered or run according to a schedule.

Zonal Analysis
YieldManager supports userconfigurable zones on wafer or die level for pattern and bare wafer scans. Zonal analysis shows defect, bitfail and binsort distribution across zones. Zones can be created quickly using the intuitive drag-and- drop interface or can be imported using .csv files with critical-area design attributes.

Enhanced DSA
Flexible load time for defect source analysis (DSA) enables fast, accurate identification of the source and physical attributes of defects. It also provides the flexibility to setup a correlation radius to classify defects such as adders, commons and missing defects and subselects to view signatures on the maps and Pareto charts.

Binsort E-Test-Defect Correlation
Wafer sort or chip probe data can be collected from both electrical probe and automatic test equipment (ATE). The inline or end-of-line (EOL) data can be correlated to perform yield correlation using defectivity analysis equipment. It enables high-yield/lowyield analysis to identify yield problems. Using a variety of methods including basic, KR, IEEE KR, enhanced “Killer Ratio” charts can be generated that help determine which steps are contributing a larger number of killer defects and what size or type of defects are reducing yield.

Enhanced Bitmapping
YieldManager’s enhanced bitmapping collects and stores large volumes of bitmap data measured at different parameters from different testers, providing the flexibility to classify failure patterns. Advanced bit-to-die analysis is also included.

The easy-to-use GUI
Figure 6: The easy-to-use GUI with automated capabilities such as defect, sort floor and

The easy-to-use GUI with automated capabilities such as defect, sort floor and bitmap correlation eliminates repetitive manual tasks, enabling designers to focus on improving the yield of memory arrays (Figure 6). The enhanced bitmapping also delivers feedback on yield killers and their die locations. Intensity maps provide a view of all bits failing at the same location, which intuitively draws the yield engineer to specific regions of high fall out for further root cause analysis. Flexible classification of failed bit patterns is enabled through customized bitmap translators.

MES/WIP Analysis
YieldManager provides views of MES data for process operation line monitoring and tool commonality analysis. This module identifies yield limiting excursions from specific process equipment or chambers.

Typical MES systems
Figure 7: Typical MES systems include PROMIS™, FACTORYworks™, WorkStream™ and Siview™

Online Help
Online help provides a comprehensive guide for performing root cause analysis using YieldManager. Underlying mathematical assumptions are described in detail, enabling predictable and accurate yield analysis. Video tutorials demonstrate the advanced feature set, accelerating he learning curve.

YieldManager Options
Smart Sampling™
Smart Sampling performs highly efficient automatic inline defect sampling of wafer inspection data in conjunction with inline review tools within the semiconductor manufacturing environment (Figure 8). Smart Sampling utilizes the fab’s manufacturing data to determine which tool type is best suited to review and classify particular defects. The Smart Sampling solution runs independently and complements all defect analysis systems.

Smart Sampling
Figure 8: Smart Sampling automatically performs inline defect sampling of wafer inspection data

Product Access Manager
The Product Access Manage (PAM) option controls the access of data to a specific audience within the fab. This feature helps fab and fabless companies restrict access of certain data to users of YieldManager. This restriction helps maintain tight control of data access to foundries or to outside sources. PAM is controlled by system administrators using an intuitive GUI. This application is completely integrated into YieldManager.

Spatial Pattern Recognition
Spatial Pattern Recognition (SPAR) automates recognition of spatial patterns of defects and bin data across the wafer(s). Robust algorithms provide optimal signature accuracy, purity and performance (Figure 9). The system provides an easy-to-use pattern library that can be used to quickly build a robust set of patterns for detection. The system runs independently and complements all defect analysis systems.

Spatial Pattern Recognition
Figure 9: SPAR automates recognition of spatial patterns of defects and bin data a cross the wafer(s)

Defect Feedback System
The Defect Feedback System is a webbased, defect-centric, event-driven alarm and reporting software solution for manufacturing. The system runs independently and comple- ments all defect analysis systems including YieldManager. Predefined user levels can be notified if out-of-control (OOC) rules are violated. The defect feedback combines all basic information for OOC wafer or lot events, such as wafer maps, defect classification based on different classification sources, defect images and basic process information on one single web page.

Parametric Module
YieldManager’s Parametric Module imports inline and EOL device performance structures for correlation to die fallout across a wafer or group of wafers (Figure 10). The Parametric Module allows the user to analyze the results for any test parameter and view the mean, standard deviation, Cp, Cpk, yield and other statistical results for selected test parameters collected from inline (WET) and EOL (WAT) at the lot, wafer or site level. Parametric specification limits and sigma levels can be set within YieldManager to show a parameter’s normal versus OOC regions. Regular or scheduled trend charts and X/Y scatter plots for each designated parameter can be autogenerated for quick reference for OOC events and daily operations.

Parametric Module
Figure 10: Parametric module imports inline and EOL device performance structures for correlation to die fallout across a wafer or group of wafers

Offline Reclassification
System The Offline Reclassification System enables the user to view defect images with a high degree of image clarity to perform offline reclassification anywhere on the network. It can be used with any inspection tool and supports all common image formats. The Offline Reclassification System runs independently and complements all defect analysis systems.

System Requirements
  • Server: Solaris™ 10, Solaris X86, Linux (RH) operating system
  • Oracle™ 10g, 11g Release 2
  • Application Server: Windows 2008®, Windows 2003
  • Client: Windows 7, Windows XP,® Windows 2003®