Prioritizing Autonomous Maintenance System Attributes using Fuzzy EDAS Approach

Abstract With advancement in IT enabled tools, there is paradigm shift in maintenance process to become an automated or appropriately autonomous system. For understanding system and application of IT enabled tools identification and prioritization of system attributes is essential. This paper is focused on identification of autonomous maintenance system attributes that are based on technology perspective and its prioritization using Fuzzy EDAS method. Fuzzy methodology was used to remove issues of uncertainty and vague judgments. Sensor technology and database management were identified as pertinent attributes. The prioritization results from Fuzzy EDAS were compared with fuzzy TOPSIS approach and it shows consistency. The results were shared with the management for decision making.