Metrics for Developing Functional Requirements and Selecting Design Parameters in Axiomatic Design | Zendy

Christopher Brown | Zendy; Richard W. Henley | Zendy

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Metrics for Developing Functional Requirements and Selecting Design Parameters in Axiomatic Design

Author(s) -

Christopher Brown,

Richard W. Henley

Publication year - 2016

Publication title -

procedia cirp

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.683

H-Index - 65

ISSN - 2212-8271

DOI - 10.1016/j.procir.2016.08.045

Subject(s) - axiomatic design , axiom , functional requirement , selection (genetic algorithm) , computer science , axiomatic system , probabilistic design , reliability engineering , mathematical optimization , engineering design process , systems engineering , engineering , industrial engineering , mathematics , manufacturing engineering , software engineering , artificial intelligence , mechanical engineering , geometry , lean manufacturing

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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