A Case Based Reasoning Approach For Selecting Appropriate Construction Automation Method

Abstract

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.