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...

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Bibliographic Details
Published in2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) pp. 308 - 311
Main Authors Srivastava, Priyank, Shukla, Rajendra Kumar, Sharma, Shubham, Khanduja, Dinesh, Gupta, Ruchika, Alrasheedi, Melfi, Singh, Gurinder
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2020
Subjects
Automation
Autonomous systems
Data analysis
Decision making
Fuzzy-AHP
Knowledge management
MADM
Maintenance
Maintenance 4.0 Attributes
Uncertainty
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Summary: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.
DOI:10.1109/ICCAKM46823.2020.9051483