Centro de Documentación de Fundación MAPFRE - A Review of data-driven decision-making methods for Industry 4.0. Maintenance applications

Notas: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)Sumario: The current paper reviews the literature on data-driven decision- making in maintenance and outlines directions for future research towards data-driven decision-making for Industry 4.0 maintenance applications. The main research directions include the coupling of decision-making with augmented reality for seamless interfacing that combines the real and virtual worlds of manufacturing operators; methods and techniques for addressing uncertainty of data, in lieu of emerging Internet of Things (IoT) devices; integration of maintenance decision-making with other operations such as scheduling and planning; utilization of the cloud continuum for optimal deployment of decision-making services; capability of decision-making methods to cope with big data; incorporation of advanced security mechanisms; and coupling decision-making with simulation software, autonomous robots, and other additive manufacturing initiativesRegistros relacionados: En: Electronics.- Basel, Switzerland : MDPI, A.G.. - Vol. 10, nº 828, 31 March 2021 ; 20 p.Materia / lugar / evento: Industria manufacturera Industria 4.0 Análisis de datos Data driven Toma de decisiones Internet de las cosas Realidad aumentada Interfaz Big data Otros autores: Bousdekis, Alexandros
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