Article ID Journal Published Year Pages File Type
246782 Automation in Construction 2013 10 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Engineering Civil and Structural Engineering
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