Using a matrix-based approach to model change propagation

Edwin C.Y. Koh*, Nicholas H.M. Caldwell, P. John Clarkson

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

It is common to develop new products through engineering changes (Jarratt et al., 2005). However, such changes can propagate undesirably (Eckert et al., 2004) especially for complex technical systems (e.g. Giffin et al., 2007). It is thus important to model and predict how engineering changes can propagate in order to better manage the design process of complex products. To address this, various authors have developed matrix-based approaches to model the dependencies between different engineering domains. For instance, Mocko et al. (2007) describe the use of a matrix-based modelling scheme which analyses the inter-relationships between engineering domains such as system requirements, functions, components, engineering characteristics, and test. In this paper, we extend the analysis by presenting a method which explicitly considers the effect of engineering change propagation. The goal of the method is to direct engineers to critical change propagation paths early and support engineers in the assessment of solution alternatives during preliminary design. Such assessment is analogous to the concept selection phase as described by Ulrich and Eppinger (1995) except the evaluation criteria are broader and considers both the product and the organisation.

Original languageEnglish
Title of host publicationProceedings of the 11th International DSM Conference
Pages271-284
Number of pages14
Publication statusPublished - 2009
Externally publishedYes
Event11th International Design Structure Matrix Conference, DSM'09 - Greenville, SC, United States
Duration: 12 Oct 200913 Oct 2009

Conference

Conference11th International Design Structure Matrix Conference, DSM'09
Country/TerritoryUnited States
CityGreenville, SC
Period12/10/0913/10/09

Keywords

  • Change management
  • Change propagation
  • Engineering change

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