MAP20220022705A Review of data-driven decision-making methods for Industry 4.0. Maintenance applications / Alexandros Bousdekis... [et al.]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 initiativesEn: Electronics.- Basel, Switzerland : MDPI, A.G.. - Vol. 10, nº 828, 31 March 2021 ; 20 p1. Industria manufacturera. 2. Industria 4.0. 3. Análisis de datos. 4. Data driven. 5. Toma de decisiones. 6. Internet de las cosas. 7. Realidad aumentada. 8. Interfaz. 9. Big data. I. Bousdekis, Alexandros. II. Title.
