A Case Based Reasoning Approach for Selecting Appropriate Construction Automation Method

Construction automation helps to improve productivity and project performance. This study demonstrates a methodology for evaluating project performance improvement through appropriate automation of construction processes. This quantitative evaluation approach involves a compositional modeling driven case-based reasoning methodology. Potential processes for executing the activities in a project can be explored by generating combinations of process fragments compiled from cases. This approach is demonstrated through an example of RCC column construction. It is shown that a large number of processes are possible even for simple tasks and a systematic procedure for evaluation is necessary for identifying the appropriate level of automation.