A Review of data-driven decision-making methods for Industry 4.0. Maintenance applications

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<dc:creator>Bousdekis,  Alexandros</dc:creator>
<dc:date>2021-03-31</dc:date>
<dc:description xml:lang="es">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/)</dc:description>
<dc:description xml:lang="es">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 initiatives</dc:description>
<dc:format xml:lang="en">application/pdf</dc:format>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/180508.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Industria manufacturera</dc:subject>
<dc:subject xml:lang="es">Industria 4.0</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Data driven</dc:subject>
<dc:subject xml:lang="es">Toma de decisiones</dc:subject>
<dc:subject xml:lang="es">Internet de las cosas</dc:subject>
<dc:subject xml:lang="es">Realidad aumentada</dc:subject>
<dc:subject xml:lang="es">Interfaz</dc:subject>
<dc:subject xml:lang="es">Big data</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">A Review of data-driven decision-making methods for Industry 4.0. Maintenance applications</dc:title>
<dc:relation xml:lang="es">En: Electronics.- Basel, Switzerland : MDPI, A.G.. - Vol. 10, nº 828, 31 March 2021 ; 20 p.</dc:relation>
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