CIRP Encyclopedia of Production Engineering

Living Edition
| Editors: The International Academy for Production Engineering, Sami Chatti, Tullio Tolio

Axiomatic Design

  • Sang-Gook KimEmail author
Living reference work entry



A design framework built upon the two design Axioms for good decision-making during the mapping between “what we want (function requirements)”, and “how we can achieve them (design parameters).”

Axiomatic Design Terminology

Axioms: Self-evident truth or fundamental truth for which there are no counterexamples or exceptions. An axiom cannot be derived from other laws or principles of nature.

Functional requirements (FRs): A minimum set of independent requirements that completely characterize the needs of the product in the functional domain.

Constraints: Bounds on acceptable solutions. Constraints are requirements, which may look like FRs but are not independent.

Design parameters (DPs): Key variables in the physical domain that characterize the design that satisfies the specific FRs.

Process variables (PVs): Key variables in the process domain that characterizes the process that can generate the specific DPs.

Theory and...

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  1. Bathurst SP, Kim SG (2009) Designing direct printing process for improved piezoelectric micro-devices. CIRP Ann Manuf Tech 58(1):193–196CrossRefGoogle Scholar
  2. Deo HV, Suh NP (2004) Mathematical transforms in design: case study on feedback control of a customizable automotive suspension. CIRP Ann Manuf Technol 53(1):125–128CrossRefGoogle Scholar
  3. Gu P, Rao HA, Tseng MM (2001) Systematic design of manufacturing systems based on axiomatic design approach. CIRP Ann Manuf Technol 50(1):299–304CrossRefGoogle Scholar
  4. Kim SG, Koo MK (2000) Design of a Microactuator Array against the coupled nature of microelectromechanical systems (MEMS) processes. CIRP Ann – Manuf Tech 49(1):101–104CrossRefGoogle Scholar
  5. Kim SJ, Suh N, Kim SG (1991) Design of software system based on axiomatic design. CIRP Ann Manuf Tech 40(1):165–170CrossRefGoogle Scholar
  6. Kim SH, Lee HW, Kim S-G (2009) Transplanting assembly of carbon-nanotube-tipped atomic force microscope Probes. Appl Phys Lett 94(19):193102CrossRefGoogle Scholar
  7. Oh HL (1988) Modeling variation to enhance quality in manufacturing. Conference on Uncertainty in Engineering Design, NBS, pp 10–11Google Scholar
  8. Peck J, Kim SG (2008) Improving emergency department patient flow through optimal fast track usage. Ann Emerg Med 52(Issue 4, Suppl 1):S88CrossRefGoogle Scholar
  9. Suh N (1982) Orthonormal processing of metals. Part 1: concept and theory. J Eng Ind 104(4):327–331CrossRefGoogle Scholar
  10. Suh N (1990) Principles of design. Oxford University Press, New YorkGoogle Scholar
  11. Suh N (2001) Axiomatic design: advances and applications. Oxford University Press, New YorkGoogle Scholar
  12. Suh N (2005) Complexity: theory and applications. Oxford University Press, New YorkGoogle Scholar
  13. Suh N, Bell A, Gossard D (1977) On an axiomatic approach to manufacturing and manufacturing systems. J Eng Ind 100(2):127–130CrossRefGoogle Scholar
  14. Suh N, Kim S, Bell A, Wilson D, Cook N, Lapidot N, von Turkovich B (1978) Optimization of manufacturing systems through axiomatics. Ann CIRP 27(1):383Google Scholar

Copyright information

© CIRP 2018

Authors and Affiliations

  1. 1.Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeUSA

Section editors and affiliations

  • Eric Lutters
    • 1
  1. 1.University of Twente, Faculty of Engineering Technology Laboratory of Design, Production and ManagementEnschedeThe Netherlands