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Design for Six Sigma BB

Description:

DFSS is devoted to increasing your top line by expanding demand for your products and services. DFSS Roadmap will guide your development experts to launching the right products with the right characteristics the first time. Within the development cycle direct costs are removed or reduced from all aspects of product production. Less defects, less waste, more profit.

A product that is targeted to the needs of the customer and designed from inception to be robust goes beyond the capability of the DICOV roadmap.

 

Duration:

20 days: Four (4) weeks over four (4) months

 

Benefits:

Improve quality at product launch and faster development time

Increase revenue from perceived of higher value by the customer

Reduced inventory costs from fewer unique parts across products

Reduced assembly times from improving and refined assembly design

Reduced product costs from improved material selection and production process

 

Who Should Attend:

R&D Engineers, Production Department, Quality Department

 

Key Topics:

  • Design for Six Sigma Introduction
  • Quality-Gate
  • Understanding Value
  • Managing Customer Value
  • Kano Model
  • QFD
  • Pugh Concept Selection
  • TRIZ
  • CTQs
  • Product Mapping
  • Intro to Design Scorecards
  • Project Management
  • Review and action plan
  • Intro to Minitab
  • Process Mapping
  • C&E Matrix
  • DFMEA
  • Basic Statistics and Basic Quality Tools
  • Product Architecture
  • Modular Design
  • MSA
  • Capability
  • Design for Manufacturing & Assembly
  • Reliability Introduction
  • Reliability Planning
  • Presentation skill
  • Review and action plan
  • Hypothesis Testing
  • Central Limit Theorem
  • Confidence Intervals
  • T-test
  • ANOVA
  • Correlation & Regression
  • Intro to DOE
  • Full Factorials
  • Fractional Factorials
  • Center Points & Blocking
  • DOE Planning
  • Residuals Analysis
  • Helicopter Competition
  • Review and action plan
  • Robust Design Overview
  • Robust Design Noise Experiment
  • Robust Design Parameter Experiment
  • MSA Revisited
  • RSM
  • Multiple Response Optimizaiton
  • Statistical Tolerancing
  • Monte Carlo Simulation
  • Reliability Modeling & Analysis
  • Validation Testing
  • Control Plans

 

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