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Estimating the Relative Importance of Iterative Information Coupling in the Design Process

[+] Author Affiliations
M. Zaman Forootan, Theodor Freiheit

University of Calgary, Calgary, AB, Canada

Paper No. DETC2010-28262, pp. 3-12; 10 pages
doi:10.1115/DETC2010-28262
From:
  • ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 22nd International Conference on Design Theory and Methodology; Special Conference on Mechanical Vibration and Noise
  • Montreal, Quebec, Canada, August 15–18, 2010
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4413-7 | eISBN: 978-0-7918-3881-5
  • Copyright © 2010 by ASME

abstract

It is hard to plan tasks using tools for conventional project management in the complex process of product design and development when considering the essential exchange of information necessary in this interdisciplinary, concurrent engineering activity. The dependency structure matrix (DSM) is a useful tool to identify iterative information flows between processes and plan a strategy for managing them. Beyond quality, successful product development is dependent on its time and resource consumption, and the less iteration the project undergoes, the more successful it will be. Extending work done by others utilizing a binary DSM to minimize product development iteration, this paper presents a quantitative form of DSM, called QDSM, with a score of the relative importance of the information dependency of coupled iterations between system elements and through an example explains some of its applications and benefits. QDSM can be used by project managers to more effectively optimize project iteration.

Copyright © 2010 by ASME

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