We create Advanced Statistical Methods and Tools for Product Design

We create Advanced Statistical Methods and Tools for Product Design

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Improve your development with our tools and methods

TRAINING OVERVIEW

OVERVIEW


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 session is to provide comprehensive training to the engineers who will be functioning in Systems engineer, lead engineer, design engineer or Six Sigma/DFSS (GB, BB, MBB) leadership roles. Second, the sessions serve as 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 Systems Engineering, DFSS, Six Sigma for Engineering, and Design Engineering
  • Requirements, Key Characteristics, and TPM using Affinity Diagrams, Kano Analysis, QFD, TRIZ, and Decision Analysis Tools (Pugh, TOPSIS, and SDI Method)
  • Statistics, Analysis, and Exercises
  • Sensitivity Analysis Method and Exercises
  • Monte Carlo Method, Tools, and Exercises
  • The Role of Models, Regression Analysis, and DOE in Product Development
  • Statistical Tolerance Allocation Method, Tools, and Exercises
  • Multi-Objective Optimization Method, Tools, and Exercises
  • Systems Engineer/DFSS Project Discussion

TARGET AUDIENCE


  • Systems Engineers, Lead Engineers, Design Engineers
  • Subject Matter Experts
  • Master Black Belts, Black Belts, Green Belts

SKILLS OBTAINED


  • Working Knowledge of Product Development Concepts
  • Systems Engineering/ DFSS Tool Experience
  • Statistical Analysis Skills
  • Statistical Design Methods in Engineering Application Experience
  • Applying Statistical Design Methods/DFSS in a Product/Systems Engineering Environment

SUGGESTED PREREQUISITES


SDI’s training and tools have be developed to support a broad range of experience and expertise. Basic knowledge and experience in the following areas is often beneficial:

  • Engineering and Product Development Processes
  • Basic Statistics
  • Microsoft Excel Fundamentals
  • Six Sigma Concepts

PARTICIPANT MATERIALS


  • Training Manual
  • SDI Tools software