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.
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

