Special section: Strategies for Design Under Uncertainty

A Multidomain Engineering Change Propagation Model to Support Uncertainty Reduction and Risk Management in Design

[+] Author and Article Information
Bahram Hamraz1

Engineering Design Centre, Department of Engineering,  University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UKbh351@cam.ac.uk

Nicholas H. M. Caldwell

Engineering Design Centre, Department of Engineering,  University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UKnhmc1@cam.ac.uk

P. John Clarkson

Engineering Design Centre, Department of Engineering,  University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UKpjc10@cam.ac.uk


Corresponding author.

J. Mech. Des 134(10), 100905 (Sep 28, 2012) (14 pages) doi:10.1115/1.4007397 History: Received January 30, 2012; Revised July 10, 2012; Published September 21, 2012; Online September 28, 2012

Engineering change (EC) is a source of uncertainty. While the number of changes to a design can be optimized, their existence cannot be eliminated. Each change is accompanied by intended and unintended impacts both of which might propagate and cause further knock-on changes. Such change propagation causes uncertainty in design time, cost, and quality and thus needs to be predicted and controlled. Current engineering change propagation models map the product connectivity into a single-domain network and model change propagation as spread within this network. Those models miss out most dependencies from other domains and suffer from “hidden dependencies”. This paper proposes the function-behavior-structure (FBS) linkage model, a multidomain model which combines concepts of both the function-behavior-structure model from Gero and colleagues with the change prediction method (CPM) from Clarkson and colleagues. The FBS linkage model is represented in a network and a corresponding multidomain matrix of structural, behavioral, and functional elements and their links. Change propagation is described as spread in that network using principles of graph theory. The model is applied to a diesel engine. The results show that the FBS linkage model is promising and improves current methods in several ways: The model (1) accounts explicitly for all possible dependencies between product elements, (2) allows capturing and modeling of all relevant change requests, (3) improves the understanding of why and how changes propagate, (4) is scalable to different levels of decomposition, and (5) is flexible to present the results on different levels of abstraction. All these features of the FBS linkage model can help control and counteract change propagation and reduce uncertainty and risk in design.

Copyright © 2012 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.



Grahic Jump Location
Figure 1

The CPM approach

Grahic Jump Location
Figure 2

Types of knowledge

Grahic Jump Location
Figure 3

FBS linkage model assumptions

Grahic Jump Location
Figure 8

FBS Linkage model for different levels of decomposition (Note: Only selected links are shown.)

Grahic Jump Location
Figure 9

Combined risk MDM for the hairdryer (component clustered)

Grahic Jump Location
Figure 10

Diesel engine – (a) photo and (b) component decomposition

Grahic Jump Location
Figure 11

Diesel engine - product view of FBS Linkage model network

Grahic Jump Location
Figure 12

Diesel engine – component-component DSM for the attribute Geometry including direct likelihood values [in %]

Grahic Jump Location
Figure 13

Diesel engine – combined risk FBS Linkage MDM

Grahic Jump Location
Figure 14

Diesel engine – collapsed combined risk DSM (Notes: Values in %; numbers below 0.5 rounded down to zero and not shown.)

Grahic Jump Location
Figure 4

FBS linkage network

Grahic Jump Location
Figure 6

FBS linkage network for the hairdryer

Grahic Jump Location
Figure 7

(a) Component-clustered FBS linkage MDM and (b) attribute-clustered FBS linkage MDM



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In