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

A Review of data-driven decision-making methods for Industry 4.0. Maintenance applications
Recurso electrónico / Electronic resource
MAP20220022705
A 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 initiatives
En: Electronics.- Basel, Switzerland : MDPI, A.G.. - Vol. 10, nº 828, 31 March 2021 ; 20 p
1. 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.