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STAT-A-MATRIX: Improving business processes for more than four decades.

 

 

 

 

 

 

 

Download the new Stat-a-Matrix CatalogDownload the New
STAT-A-MATRIX
Seminars Catalog

Winter-Spring 2008

Risk Self-Assessment
(free, online self-assessment)
Making Improvement Work
(white paper, PDF)
Beyond the Voice of the Customer
(white paper, PDF)
From QMS to Lean Six Sigma
(presentation, PDF)
Lean Six Sigma Integration for
Business Excellence

(presentation, PDF)
 
     

Six Sigma DMADV Overview

 

One strategic objective of any organization is the continual improvement of its processes in order to gain competitive advantage, enhance its performance, and benefit interested parties such as customers, employees and shareholders. In many situations, however, improving a process is not a sound business option. Rather, a complete process re-design is required.

DMADV (Define, Measure, Analyze, Design, Verify/Validate) is the Six Sigma methodology that focuses on process design/re-design. In DEFINE, the project purpose and scope are established. In MEASURE, voice-of-the-customer data are translated into Critical to Quality characteristics (i.e., design measurements) that the design must meet.

The project team then generates innovative concepts, evaluate and select the best concept for the design (ANALYZE). High-level designs are then developed and tested (DESIGN). Verification against design requirements, and validation against intended use are followed by transitioning the new design to process owners for rollout, implementation and control, completing the DMADV methodology.

Whether you need to design a new product or service, or redesign a process that requires breakthrough improvement, turn to STAT-A-MATRIX to apply DMADV to its fullest extent. Our experienced Master Black Belts can help your organization:

  • Identify opportunities to apply the methodology (areas of focus)
  • Select projects within the areas of focus
  • Train and coach your staff in the correct application of the various tools of DMADV (e.g., Quality Function Deployment)

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