Analysis of Autonomous Maintenance Activities Using FUZZY ARAS Method

Abstract

Automated maintenance is a maintenance strategy where machine operators monitor their equipment and make changes and perform minor maintenance tasks. The ultimate goal of total production maintenance is to improve the efficiency of a company's overall equipment. That's why it starts with autonomous maintenance. This efficient maintenance is simple and frees employees from worrying about routine maintenance tasks, allowing them to focus on specialized care programs, alternative database management, data storage, data analysis, and sensor technology. The evaluation options are preventive maintenance, condition-based maintenance, and predictive maintenance. The fuzzy ARAS method determines the optimal solution at a short range from the analysis and the negative-optimal solution at a long distance from the solution, but the relative importance of these distances is not significant. The results show that condition-based maintenance ranks first, while predictive maintenance has the lowest rank.