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Performance assessment model for robot-based automated construction systems

Ung-Kyun Lee, Wi Sung Yoo, Sung-Hoon An, Nakju Lett Doh, Hunhee Cho, Changhyun Jun, Taehoon Kim, Young Hoon Lee

Year
2013
Citations
8
Access
Open access

Abstract

An adjusted assessment model based on benefit-cost analysis (BCA) is proposed for evaluating the economic efficiency of automated construction technologies. In contrast to conventional BCA, the model does not compare monetary values, but the differences in benefits and costs between traditional and automated construction methods. To verify the usefulness of the model, it was applied to a real-scale building construction project that used a fully automated building construction system, and the face validity of the model was confirmed. The results indicate that the model can support decision makers in identifying valuable benefit factors and in assessing the cost effectiveness of the system.

Keywords

Computer scienceScale (ratio)Building modelDecision support systemRobotSimulationArtificial intelligence

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