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.
Original language | American English |
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Pages (from-to) | 31-40 |
Number of pages | 10 |
Journal | Automation in Construction |
Volume | 31 |
DOIs | |
State | Published - 7 Jan 2013 |
Keywords
- Change control
- Decision making
- Keywords
- Project management
- Project modeling
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction