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International Joint conference on Industrial Engineering and Operations Management

IJCIEOM 2019: Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM pp 362–373Cite as

Data Fusion for Industry 4.0: General Concepts and Applications

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Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Abstract

The 4th Industrial Revolution represents a new industrial era through the combination of Cyber-Physical Systems, Internet of Things, and the Internet of Services. Data are the new raw material of the 21st century, and it is necessary to turn these data into meaningful information to provide a more flexible, reliable, and efficient operation. To overcome challenges related to acquisition and analysis of a large amount of data, the data fusion strategy has gained focus as a data preprocessing phase to support the fast-growing data-intensive applications. This article presents a systematic mapping of general concepts and applications of data fusion in the context of Industry 4.0 assisting the research community in future studies as well as practitioners and students, providing support for the use of data fusion strategy.

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Authors and Affiliations

  1. Graduate Program in Production and Systems Engineering (PPGEPS), Pontifical Catholic University of Paraná (PUCPR), Curitiba, 80215-901, Brazil

    Ricardo Eiji Kondo, Erick Douglas de Lima, Eduardo de Freitas Rocha Loures, Eduardo Alves Portela dos Santos & Fernando Deschamps

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  1. Ricardo Eiji Kondo
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  2. Erick Douglas de Lima
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  3. Eduardo de Freitas Rocha Loures
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  4. Eduardo Alves Portela dos Santos
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  5. Fernando Deschamps
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Correspondence to Ricardo Eiji Kondo .

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Editors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Zoran Anisic

  2. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Bojan Lalic

  3. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Danijela Gracanin

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Kondo, R.E., de Lima, E.D., de Freitas Rocha Loures, E., dos Santos, E.A.P., Deschamps, F. (2020). Data Fusion for Industry 4.0: General Concepts and Applications. In: Anisic, Z., Lalic, B., Gracanin, D. (eds) Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM. IJCIEOM 2019. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-43616-2_38

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  • DOI: https://doi.org/10.1007/978-3-030-43616-2_38

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