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Multi-Level Flow-Based Markov Clustering for Design Structure Matrices

[+] Author Affiliations
Tim (T.) Wilschut, Pascal (L. F. P.) Etman, Jacobus (J. E.) Rooda, Ivo (I. J. B. F.) Adan

Eindhoven University of Technology, Eindhoven, Netherlands

Paper No. DETC2016-59483, pp. V007T06A015; 10 pages
doi:10.1115/DETC2016-59483
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 28th International Conference on Design Theory and Methodology
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5019-0
  • Copyright © 2016 by ASME

abstract

For decomposition and integration of systems one requires extensive knowledge on system structure. A Design Structure Matrix (DSM) can provide a simple, compact and visual representation of dependencies between system elements. By permuting the rows and columns of a DSM using a clustering algorithm, the underlying structure of a system can be revealed. In this paper, we present a new DSM clustering algorithm based upon Markov clustering. The developed clustering algorithm is able to cope with the presence of ‘bus’ elements, returns multilevel clusters, is capable of clustering both directed as well as undirected DSMs, and allows the user to control the cluster results by tuning only three input parameters.

Copyright © 2016 by ASME

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