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A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement

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Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins (ICDSST 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 474))

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Abstract

Overall Equipment Effectiveness (OEE) has remained a valuable performance indicator over the decades. Yet, methods for improving equipment effectiveness have changed and advanced over time. This paper deals with the contribution of the Industry 4.0 in OEE improvement in the context of production systems monitoring and control through an analysis of the current literature. Industry 4.0 provides innovative technologies to enable new ways of tracking, taking decisions and acting upon production system health data. Internet of Things (IoT) when integrated into production systems, enables tracking of operational parameters remotely in real-time. Big Data and Artificial Intelligence enable analyzing historical and current operational data to using the results for predictive maintenance. Simulation and Digital Twins allow to test various production scenarios to measure their impact on production systems performance… This leads to better insights on production performance, identification and minimization of losses, and enhanced decision making in favor of increasing OEE values consistently. In this work, we give an overview of the Industry 4.0 technologies used in the literature. Then we identify and present different use cases that combine a number of these technologies to assure production monitoring and control.

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Authors and Affiliations

  1. Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France

    Emna Masmoudi, Laurent Piétrac & Séverine Durieux

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  1. Emna Masmoudi
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  2. Laurent Piétrac
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  3. Séverine Durieux
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Correspondence to Emna Masmoudi .

Editor information

Editors and Affiliations

  1. University of Plymouth, Plymouth, UK

    Shaofeng Liu

  2. University of Toulouse Capitole - IRIT, Toulouse, France

    Pascale Zaraté

  3. University of Toulouse 1 - IMT Mines Albi, Albi, France

    Daouda Kamissoko

  4. University of Namur, Namur, Belgium

    Isabelle Linden

  5. University of Macedonia, Thessaloniki, Greece

    Jason Papathanasiou

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Masmoudi, E., Piétrac, L., Durieux, S. (2023). A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement. In: Liu, S., Zaraté, P., Kamissoko, D., Linden, I., Papathanasiou, J. (eds) Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins . ICDSST 2023. Lecture Notes in Business Information Processing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-031-32534-2_6

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  • DOI: https://doi.org/10.1007/978-3-031-32534-2_6

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  • Publisher Name: Springer, Cham

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