Change prediction using interface data

Journal Article (2013)
Author(s)

Bahram Hamraz (University of Cambridge)

Onur Hisarciklilar (McGill University)

Keyvan Rahmani (McGill University)

D. C. Wynn (University of Cambridge)

Vincent Thomson (McGill University)

John Clarkson (University of Cambridge)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1177/1063293X13482473
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Publication Year
2013
Language
English
Affiliation
External organisation
Issue number
2
Volume number
21
Pages (from-to)
141-154

Abstract

Managing change can be challenging due to the high levels of interdependency in concurrent engineering processes. A key activity in engineering change management is propagation analysis, which can be supported using the change prediction method. In common with most other change prediction approaches, the change prediction method has three important limitations: L1: it depends on highly subjective input data; L2: it is capable of modelling 'generalised cases' only and cannot be; customised to assess specific changes; and L3: the input data are static, and thus, guidance does not reflect changes in the design. This article contributes to resolving these limitations by incorporating interface information into the change prediction method. The enhanced method is illustrated using an example based on a flight simulator.

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