Predicting change propagation in complex design workflows

David C. Wynn; Nicholas H.M. Caldwell; P. John Clarkson

doi:10.1115/1.4027495

Predicting change propagation in complex design workflows

David C. Wynn^*, Nicholas H.M. Caldwell, P. John Clarkson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

60 Scopus citations

Abstract

A simulation model to help manage change propagation through design workflows is introduced. The model predicts resource requirements and schedule risk of a change process, accounting for concurrency, multiple sources of change, and iterations during redesign. Visualizations provide insight to answer common management questions. The approach is illustrated using an aircraft design workflow from Airbus and a more complex turbine disk design workflow from Rolls-Royce.

Original language	English
Article number	081009
Journal	Journal of Mechanical Design, Transactions Of the ASME
Volume	136
Issue number	8
DOIs	https://doi.org/10.1115/1.4027495
State	Published - Aug 2014
Externally published	Yes

Keywords

Cambridge advanced modeller
change prediction in workflows
change propagation
design change
design process simulation

ASJC Scopus subject areas

Mechanics of Materials
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

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10.1115/1.4027495

Cite this

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title = "Predicting change propagation in complex design workflows",

abstract = "A simulation model to help manage change propagation through design workflows is introduced. The model predicts resource requirements and schedule risk of a change process, accounting for concurrency, multiple sources of change, and iterations during redesign. Visualizations provide insight to answer common management questions. The approach is illustrated using an aircraft design workflow from Airbus and a more complex turbine disk design workflow from Rolls-Royce.",

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AB - A simulation model to help manage change propagation through design workflows is introduced. The model predicts resource requirements and schedule risk of a change process, accounting for concurrency, multiple sources of change, and iterations during redesign. Visualizations provide insight to answer common management questions. The approach is illustrated using an aircraft design workflow from Airbus and a more complex turbine disk design workflow from Rolls-Royce.

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KW - change prediction in workflows

KW - change propagation

KW - design change

KW - design process simulation

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Predicting change propagation in complex design workflows

Abstract

Keywords

ASJC Scopus subject areas

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Cite this