Detecting Improvements in Dismantling Processes for End-of-life Vehicles Using Tracking Data of Vehicle Dismantling Machine

Abstract

As a case study, this paper proposes a method to detect improvements in dismantling processes through more efficient operation of vehicle dismantling machines for end-of-life vehicles. Using the tracking data collected by a sensor attached to the vehicle dismantling machine, the proposed method identifies processes to be learned and processes to be improved, compares measures for operating and planning skills between the two types of processes identified, and detects ways to improve the processes. The proposed method is applied to a case of dismantling works in a company, and the results show the effectiveness of the proposed method.