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008 | | | 220830e20210331che|| p |0|||b|eng d |
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245 | 1 | 2 | $aA Review of data-driven decision-making methods for Industry 4.0. Maintenance applications$cAlexandros Bousdekis... [et al.] |
500 | | | $aThis 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/) |
520 | | | $a 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 |
650 | | 4 | $0MAPA20100061091$aIndustria manufacturera |
650 | | 4 | $0MAPA20180000454$aIndustria 4.0 |
650 | | 4 | $0MAPA20080578848$aAnálisis de datos |
650 | | 4 | $0MAPA20220007825$aData driven |
650 | | 4 | $0MAPA20080588434$aToma de decisiones |
650 | | 4 | $0MAPA20150010735$aInternet de las cosas |
650 | | 4 | $0MAPA20120009158$aRealidad aumentada |
650 | | 4 | $0MAPA20080547721$aInterfaz |
650 | | 4 | $0MAPA20140022717$aBig data |
700 | 1 | | $0MAPA20220007955$aBousdekis, Alexandros |
773 | 0 | | $tElectronics.- Basel, Switzerland : MDPI, A.G.$gVol. 10, nº 828, 31 March 2021 ; 20 p. |
856 | | | $qapplication/pdf$w1116402$yRecurso electrónico / Electronic resource |