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Design structure matrix‐based modularization approach for complex systems with multiple design constraints

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Listed:
  • Kaushik Sinha
  • Seok‐Youn Han
  • Eun Suk Suh

Abstract

Designing a complex system generally requires its decomposition into smaller modular constituents for the ease of design, integration, operation, and future upgrades. Typically, system decomposition analysis is conducted using an abstract system model during the initial system design stage. The design structure matrix (DSM) has been a popular tool for abstract system modeling. In the DSM, systems are modeled and decomposed into modular configurations using published clustering algorithms. In this paper, we present a novel approach for system architecture decomposition and modularization based on the DSM, which can incorporate multiple design constraints into clustering algorithms. Two clustering algorithms are modified to accommodate the system design constraints. The modified algorithms are used to decompose a static inverter (SIV) of an electrical train into modular configurations that include various design constraints. Finally, the results and analysis of the SIV modularization using new modified clustering algorithms are presented.

Suggested Citation

  • Kaushik Sinha & Seok‐Youn Han & Eun Suk Suh, 2020. "Design structure matrix‐based modularization approach for complex systems with multiple design constraints," Systems Engineering, John Wiley & Sons, vol. 23(2), pages 211-220, March.
    • Handle: RePEc:wly:syseng:v:23:y:2020:i:2:p:211-220
    DOI: 10.1002/sys.21518
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    References listed on IDEAS

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    1. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, December.
    2. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
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