Fuzzy Methodology Approach for Prioritizing Maintenance 4.0 Attributes

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 tool s identification and prioritization of system attributes is essential. This paper is focused on identification of maintenance 4.0 attributes based on technological and governmental aspect and its prioritization using Fuzzy analytical hierarchical process (AHP) method. Fuzzy methodology was used to remove issues of uncertainty and vague judgments. Sensor technology, data analysis, database management and labor law were identified as pertinent attributes. The results were shared with the management for decision making.