Predicting change propagation on different levels of granularity: An algorithmic view

O. O. Ariyo*, R. Keller, C. M. Eckert, P. J. Clarkson

*Corresponding author for this work

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

16 Citations (Scopus)

Abstract

When using connectivity models to assess the potential impacts of component changes on other parts of a product, plausible inferences are readily assessed when such products are represented at the appropriate level of granularity to support specific queries. In this paper, we describe the development of a prediction algorithm, which enables coherent computations of the likelihoods of change propagating on several levels of detail of product description given component level change probabilities. The results show that a multilevel approach to change prediction supports an increased range of design queries beyond that achievable with a single level model. Such change prediction capability is useful when carrying out a comprehensive change impact assessment.

Original languageEnglish
Title of host publicationProceedings of ICED 2007, the 16th International Conference on Engineering Design
Publication statusPublished - 2007
Externally publishedYes
Event16th International Conference on Engineering Design, ICED 2007 - Paris, France
Duration: 28 Jul 200731 Jul 2007

Publication series

NameProceedings of ICED 2007, the 16th International Conference on Engineering Design
VolumeDS 42

Conference

Conference16th International Conference on Engineering Design, ICED 2007
Country/TerritoryFrance
CityParis
Period28/07/0731/07/07

Keywords

  • Change management
  • Product modelling
  • Product overview

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