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Design for Six Sigma

Course Outline

Six Sigma Design (DFSS) & Innovation methods provide complementary approaches. When strategically linked these yield customer-driven, highly resource efficient processes and products with almost perfect performance. Integrated DFSS, Innovation, and Lean approaches provide a highly structured strategy for acquiring, assessing, and activating customer, competitor, and enterprise intelligence that lead to superior product, system or enterprise innovations and designs that provide the organization with a sustainable competitive advantage. Useful background for this course includes exposure to introductory statistical methods and quality management principles. Relevant software will be provided.
Six Sigma integrates strategies and tools from Statistics, Quality, Business, and Engineering and has added billions of Euros to the bottom line of organizations across the financial, healthcare, military, manufacturing, and other economic sectors. Its focus divides into two significant branches that share a number of tools, techniques and objectives, but often apply the tools and techniques differently.
The Innovation branch focuses on significant innovation /redesign in or of existing products, processes, and systems while the second branch, referred to as Design for Six Sigma, is directed at design of new products, processes or systems. Six Sigma has developed largely in parallel with and complementary to Lean Enterprise Theory & Methods with a result often referred to as Lean Six Sigma wherein radical innovation in and/or design of products, processes and systems is approached through a lean lens that is intended to be highly resource sensitive.

This course emphasizes both Innovation and Design for Six Sigma with a lean and green mindset and utilizes a team- based project focus.

Company executives, R&D directors and engineers, engineering managers, design engineers, and process engineers.

Course Detail

Advanced Design of Experiments
Advanced Measurement System Analysis (MSA)
Optimization of Deterministic Simulations
  • Nearly Orthogonal Latin Hypercube Sampling
  • Descriptive Sampling
  • Latin Hypercube Sampling
  • Regression in a Deterministic Environment
Data Mining
Innovation Techniques
Axiomatic Design

Course Duration

16 hrs

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