BUSINESS

SEMI EDA Standard Compliance Solution

SEMI EDA STANDARD

What is EDA Standard?


With the continuous advancement of semiconductor manufacturing technology and increasing complexity in equipment design and processes, the need for high-quality data (manufacturing big data) for equipment analysis has become essential. Since the early 2000s, the SEMI Global Information & Control Technical Committee has developed a dedicated protocol for reliable equipment data analysis, independent of the SECS/GEM* protocol, by establishing a separate data channel for high-volume, high-frequency data. This protocol was named the EDA (Equipment Data Acquisition) Standard.

The EDA Standard has evolved through Freeze.1 in 2005 and Freeze.2 in 2010, with the development of Freeze.3 currently on the horizon. Notably, EDA not only facilitates high-volume, high-frequency equipment data collection but also serves as a data service platform utilizing multi-session and multi-client web service technologies, enabling a new data ecosystem for diverse analytical applications.

*SECS/GEM: A semiconductor standard communication protocol designed for equipment control (Semiconductor Equipment Communication Standard & Generic Equipment Model).

SEMI EDA Freeze.2


  • Defines SOAP XML-based Protocol, WSDL, and XML schema as SEMI standards
  • Consists of 4 parts, defining a series of services for equipment data collection
  • SEMI EDA Freeze.2

  • Defines SOAP XML-based Protocol, WSDL, and XML schema as SEMI standards
  • Consists of 4 parts, defining a series of services for equipment data collection
  • Feature SECS/GEM EDA
    Data Rates 10 variables per Chamber
    300 values/sec
    50 variables per Chamber
    5000 values/sec
    Event Data Process Event Process Event
    Physical, Mechanical Event
    Self-Describing Only Data ID Equipment structure described as data
    Secure Communications Only Equipment Host Security through Admin
    e-Diagnostic
    Configuration Socket HTTP (SOAP XML)
    ANTICIPATED EFFECTS

    EDA Client = Data Service Platform


    We enable a real-time data pipeline that quickly and efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the needs of analytical systems.

    ANTICIPATED EFFECTS

    EDA Client = Data Service Platform

    We enable a real-time data pipeline that quickly and efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the needs of analytical systems.

    Flexible data collection

    Flexible Data Collection

    Flexible data collection enabled through Data Channel separation.

    Standardize equipment reference information

    Standardization of Equipment Reference Information

    Consistent data utilization across various analytical systems is enabled through integrated management of equipment reference information based on EDA.

    Acquisition of more high-quality data

    Acquisition of More High-Quality Data

    The specification and management of required data become more efficient, enabling the acquisition of more high-quality data.

    Improve the accuracy of analytical results

    Improvement in the Accuracy of Analytical Results

    By eliminating data dependencies between existing analytical systems, the smooth supply of required data becomes possible, leading to more accurate analytical results.

    Manufacturing Big Data Platform

    HIGHLIGHTS

    Plug and Play Data Service

    We enable a real-time data pipeline that efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the requirements of analytical systems.

    • Support for integrating various industry-standard interfaces
    • Legacy interface integration support
    • Improved reliability of source data
    • Reduced development time and cost for data collection and preprocessing
    • Establishment of an efficient big data analytics foundation
    ARCHITECTURE

    Plug and Play Data Service Platform

    ARCHITECTURE

    Plug and Play Data Service Platform

    ROADMAP OF MANUFACTURING BIGDATA APPLICATIONS

    Accelerate Equipment Evolution

    ROADMAP OF MANUFACTURING BIGDATA APPLICATIONS

    Accelerate Equipment Evolution

    BIG DATA UTILIZATION

    Completion of A.I Driven Equipment Evolution

    BIG DATA UTILIZATION

    Completion of A.I Driven Equipment Evolution

    Accelerate Your AI Projects

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    Benefits of EDA Utilization

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    Benefits of EDA Utilization

    Cost Minimization

    Equipment equipped with an EDA server requires no additional development investment for data collection.

    Minimized Deployment Time

    By utilizing Doople's ready-to-use EDA Host products, a data collection and real-time processing environment can be established with just Session and DCP setup.

    Utilization of Verified Data

    EDA-supported equipment can fully benefit from the quality of data validated through on-site process verification.

    Flexible data collection

    EDA-supported equipment can fully benefit from the quality of data validated through on-site process verification.

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    All Done in a single Machine

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    All Done in a single Machine

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    All Done in a Single Day

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    All Done in a Single Day

    Creating DCP

    • 1000+ Parameters
    • 1000+ Events
    • All Exception

    Creating DPP

    • EDA Data Source Configuration
    • Definition of Virtual Parameters / Events
    • Data Classification and Filter Settings
    • Configuration of Data Context, Alias, and Dataset Packaging

    Creating BOB

    • Target Value, LSL, USL Patterns for 150 Parameters
    • Anomoly Detection Conditions

    No-Code

    Configure data collection, processing workflow and analysis WITHOUT DEVELOPMENT

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    Feed into your projects

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    Feed into your projects

    Dataset Notifications

    Equal=A Data Processor notifies dataset information through Redis once a dataset is created. To receive real-time dataset creation notifications, use the Redis subscription information defined in the Data Process Workflow.

    Search APls

    We provide a series of APIs that allow you to search for fingerprint data based on context conditions such as time period, RecipeID, LotID, and Wafer No. These APIs can be easily integrated into custom-built analytical systems.

    Analysis Result Notifications

    You can receive notifications immediately upon the generation of dataset analysis results. These results can be utilized for creating custom dashboards or for real-time interlocks and other follow-up actions.

    Download APls

    The retrieved fingerprint data is generated in various sizes depending on the process length, and the size of BOB data also varies. The Pattern FDC server manages the fingerprint data and introduces a method to receive encrypted BOB and fingerprint data through the Download API.

    PARTNERS

    BUSINESS PARTNERS

    PARTNERS


    We sincerely thank our valued customers for trusting Doople's technology and services. We will continue to deliver exceptional customer satisfaction through relentless innovation and challenges.

    BUSINESS PARTNERS

    PARTNERS

    We sincerely thank our valued customers for trusting Doople's technology and services. We will continue to deliver exceptional customer satisfaction through relentless innovation and challenges.