A case-based reasoning technique for evaluating performance improvement in automated construction projects

Automation of construction processes facilitates increased productivity and overall higher project performance. This paper presents a methodology for comparative assessment of different construction processes and selection of an optimal solution based on appropriate automation implementation. Construction processes are quantitatively evaluated using a methodology combining case-based reasoning and compositional modeling. Through the generation of many combinations of process fragments that are compiled from case libraries, potential solutions are explored and evaluated. An example involving solutions such as RCC frame construction, precast construction, and modular steel frame construction is described in this paper. The study demonstrates the possibility of selection of suitable construction processes based on the quantitative assessment of a large number of potential solutions. Processes are modelled by decomposing them up to the elementary tasks and appropriate level of automation is identified in all the tasks.