Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
246782 | Automation in Construction | 2013 | 10 Pages |
In many construction projects, design changes cause unexpected deviations from the client objectives. Project teams currently often find it difficult to identify in advance what the impact of a proposed change will be. The present research demonstrates that the use of graph-based algorithms can help project teams to identify which elements will be affected by a proposed change. The algorithms are applied in graph-based model using readily available information. A clustering algorithm identifies the elements that will be directly affected by a proposed change. A path-search algorithm identifies the possible indirect impact on different aspects of the project. The results of tests that were carried out with the model indicate its feasibility.
► Graph-based algorithms are used to detect the impact of a proposed design change. ► A clustering algorithm identifies components directly affected by a change. ► A path search algorithm identifies the indirect impact on client objectives.