Time-to-market, initial quality, and long-term reliability are three of the biggest competitive challenges in industry today. Innovation raises the risk of reduced quality, so new products have lengthy time-to-market development processes with costly prototyping and rework. Launch too early and revenue is eroded by charge-backs; launch too late and miss first-mover advantage. In addition, the cost of finding defects rises exponentially the further you progress through the product and process lifecycle.

 

The fundamental premise of quality planning is to proactively prevent defects by analyzing and controlling for them as early in the product and process lifecycle as possible. By linking design verification into your quality knowledge management and collaboration processes, time-to-market, initial quality and long-term reliability are all improved while reducing costs.

 

Quality design is often a broken process due to an inability to capture, continuously improve and leverage quality performance knowledge in design engineering activities. The result is the emergence of Advanced Product Quality Planning (APQP) and Design for Six Sigma (DFSS) processes that seem to permanently be in "pilot" mode in most industries today. The reason for this is that the challenge is fundamentally a knowledge management problem rather than a process management problem. Only once the quality knowledge management is in place to capture and sustain quality knowledge can we effectively collaborate in a closed-loop cross-functional manner to continuously improve your design quality efforts.

 

Dyadem solutions ensure that you develop a robust knowledge base, allowing good design decisions that are, in effect, validated by prior quality planning efforts. Where there is uncertainty, tests can be defined and linked, allowing full traceability from requirements to design FMEA to design verification. When design or process changes are being implemented, they can be analyzed through design review by failure mode (DRBFM) and design review by test results (DRBTR) activities, with the results again being linked and traceable back to the design FMEA and other related quality planning documents.

 

Stature turns your Design FMEAs from paperwork into the core background of your quality engineering efforts:

  • Create knowledge-driven design FMEAs that leverage corporate standards and lessons learned
  • Link design inputs, design FMEAs, design verification, and gage plans
  • Manage critical characteristics across the quality lifecycle, ensuring that Process FMEAs and Control Plans are linked
  • Manage the entire quality lifecycle process for your APQP (Advanced Product Quality Planning) and DFSS (Design for Six Sigma) efforts
  • Provide visibility through dashboards and leading and lagging indicators of design quality performance
  • Closed-loop continuous improvement processes that capture and sustain product and process quality lessons learned and best practices

 
 
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