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Application of axiomatic design and design structure matrix to the decomposition of engineering systems

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  • M. D. Guenov
  • S. G. Barker

Abstract

A design decomposition‐integration model, named COPE, is proposed in which Axiomatic Design Matrices (DM) map Functional Requirements to Design Parameters while Design Structure Matrices (DSM) provide structured representation of the system development context. In COPE, the DM and the DSM co‐evolve. Traversing between the two types of matrices allows for some control in the application of the system knowledge which surrounds the decision making process and the definition of the system architecture. It is argued that this approach describes better the design process of complex products which is constrained by the need to utilise existing manufacturing processes, to apply discrete technological innovations and to accommodate work‐share and supply chain agreements. Presented is an industrial case study which demonstrated the feasibility of the model. © 2004 Wiley Periodicals, Inc. Syst Eng 8: 29–40, 2005

Suggested Citation

  • M. D. Guenov & S. G. Barker, 2005. "Application of axiomatic design and design structure matrix to the decomposition of engineering systems," Systems Engineering, John Wiley & Sons, vol. 8(1), pages 29-40.
    • Handle: RePEc:wly:syseng:v:8:y:2005:i:1:p:29-40
    DOI: 10.1002/sys.20015
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    References listed on IDEAS

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    1. Tyson R. Browning, 2002. "Process integration using the design structure matrix," Systems Engineering, John Wiley & Sons, vol. 5(3), pages 180-193.
    2. David M. Sharman & Ali A. Yassine, 2004. "Characterizing complex product architectures," Systems Engineering, John Wiley & Sons, vol. 7(1), pages 35-60.
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    4. Pimmler, Thomas U. (Thomas Udo) & Eppinger, Steven D., 1994. "Integration analysis of product decompositions," Working papers 3690-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. McCord, Kent R. (Kent Richard) & Eppinger, Steven Daniel., 1993. "Managing the integration problem in concurrent engineering," Working papers 3594-93., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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    3. Umunnakwe, A. & Huang, H. & Oikonomou, K. & Davis, K.R., 2021. "Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
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    5. Jason E. Bartolomei & Daniel E. Hastings & Richard de Neufville & Donna H. Rhodes, 2012. "Engineering Systems Multiple‐Domain Matrix: An organizing framework for modeling large‐scale complex systems," Systems Engineering, John Wiley & Sons, vol. 15(1), pages 41-61, March.

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