Abstract
This work studies the systematic use of metrics for developing design decompositions in axiomatic design (AD). The supposition is that a rigorous use of metrics will guide the formulation of superior functional requirements (FRs), and the selection of the best design parameters (DPs). Good FRs are essential for satisfying the customer needs (CNs). The metrics and equations relating FRs to their parents and to the corresponding DPs can be useful for complying with the axioms and for verbalizing FRs. Quantitative value chains, along with targeting and tolerancing chains, which start with the CNs, are proposed The use of adaptive designs, whereby a design solution can evolve to respond to changing circumstances, are also mentioned.
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