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Advanced Statistical Methods and Tools for Product Design

TRAINING


SDI's objective is to support product development organizations in their quest to produce high-quality products as cost-effectively as possible in a timely manner. The training that we offer is based on two key objectives. The first objective of a DFSS training session is to provide comprehensive training to the engineers who will be functioning in Black Belt, Green Belt, subject-matter expert, lead engineer, design engineer, or leadership roles. Second, the sessions serve as DFSS technical problem solving sessions -- just-in-time (JIT) training for cross-functional teams at the beginning of a new program or program phase.
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    Typical Class Topics
    • Introduction and Basics of Six Sigma for Engineering, DFSS, and Design Engineering
    • Requirements, Key Characteristics, and TPM using QFD, TRIZ, and Trade-Off Tools
    • Statistics, Analysis, and Exercises
    • Sensitivity Analysis Method and Exercises
    • Monte Carlo Method, Tools, and Exercises
    • Statistical Rollup Issues and Scorecards
    • The Role of Models, Regression Analysis, and DOE in DFSS
    • Allocation Method, Tools, and Exercises
    • Optimization Method, Tools, and Exercises
    • DFSS Engineer Project Discussion
  • Target Audience
    • Lead Engineers, Design Engineers
    • Subject Matter Experts
    • Master Black Belts, Black Belts, Green Belts
  • Participant Materials
    • DFSS Training Manual
    • SDI Tools on CD-ROM
  • Suggested Prerequisites
    • Engineering and Product Development Processes
    • Basic Statistics
    • MS Excel Fundamentals
    • Six Sigma Concepts
  • Skills Required
    • Working Knowledge of DFSS Concepts
    • DFSS SW Tool Experience
    • Statistical Analysis Skills
    • Engineering Application Experience
    • Applying DFSS in a Product/Systems Engineering Environment