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NPA, Six Sigma and Design For Six Sigma (DFSS)

Six Sigma is a methodology that provides businesses with the tools to improve their business process capabilities. Six Sigma defines quality in terms of conformance to specifications. Thus, the effectiveness of the Six Sigma methodology depends on the effectiveness of specifications.

DFSS is a design method that achieves Six Sigma quality levels for a product by designing and specifying the product correctly before producing it.

Near-Perfect Architecture (NPA) utilizes the four concepts below to ensure high quality requirements, optimal design, efficient production, and sufficient quality of the implemented product.

1: Voice of the customer (VOC). NPA uses specific tools designed to understand and document the customer requirements.

2: Robust Design Method (aka Quality Engineering or the Taguchi method). NPA focuses on the design stage of the manufacturing lifecycle and ensures the manufacturing process delivers its products with minimal variability

3: Design Optimization. NPA simplifies designs and employs value engineering to optimize the economics of product development, delivery and operation

4: Statistical Controls (SCs). NPA implements a comprehensive set of metrics to control the design and production processes and to measure the quality of the delivered product. The metrics ensure the product realizes the Voice of the Customer (VoC) as it relates to the product itself and its production.

More About Statistical Controls

"In God we trust. All others must bring data."  W. Edwards Deming.

KT1 Design uses four sets of statistical controls to measure quality. The first set measures the quality of the customer requirements (RQ). The second set measures Design Quality (DQs). The third set measures Project Quality (PQs). The fourth set measures Operational Quality (OQs).