Quality

Design for Quality

Quality is determined by business's products and services available robust reliable lifecycle performance at all intended usage contexts and conditions. Thus, the quality design space is defined by the business model capabilities' required lifecycle available robust reliable performances, that are faultless when used as intended by the end consumer.

Different quality assurance methods and approaches (e.g., Pugh Matrix, Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Six Sigma, Design For Six Sigma (DFSS), etc.) are applicable to business capabilities' realization functions and systems development and implementation.

The Multi-Objective Robust Design-Systems Engineering (MORD-SE)-approach is a main quality assurance one. It fully utilizes data mining and DFXS (i.e., design for X standard deviations (σ) as the desired capability performance's tolerance bandwidth) while aiming for an effective and efficient systemization of business models' availability aligned products and services robust reliable differentiable solutions.