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Enhancing the Decision-Making Process through Industry 4.0 Technologies

Author

Listed:
  • Frédéric Rosin

    (Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines (LAMIH)—UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 151 Boulevard de l’hôpital, 75013 Paris, France)

  • Pascal Forget

    (Industrial Engineering Department, University of Quebec at Trois-Rivieres, Trois-Rivières, QC G8Z 4M3, Canada)

  • Samir Lamouri

    (Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines (LAMIH)—UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 151 Boulevard de l’hôpital, 75013 Paris, France)

  • Robert Pellerin

    (Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, QC H3T 1J4, Canada)

Abstract

In order to meet the increasingly complex expectations of customers, many companies must increase efficiency and agility. In this sense, Industry 4.0 technologies offer significant opportunities for improving both operational and decision-making processes. These developments make it possible to consider an increase in the level of operational systems and teams’ autonomy. However, the potential for strengthening the decision-making process by means of these new technologies remains unclear in the current literature. To fill this gap, a Delphi study using the Régnier Abacus technique was conducted with a representative panel of 24 experts. The novelty of this study was to identify and characterize the potential for enhancing the overall decision-making process with the main Industry 4.0 groups of technologies. Our results show that cloud computing appears as a backbone to enhance the entire decision-making process. However, certain technologies, such as IoT and simulation, have a strong potential for only specific steps within the decision-making process. This research also provides a first vision of the manager’s perspectives, expectations, and risks associated with implementing new modes of decision-making and cyber-autonomy supported by Industry 4.0 technologies.

Suggested Citation

  • Frédéric Rosin & Pascal Forget & Samir Lamouri & Robert Pellerin, 2022. "Enhancing the Decision-Making Process through Industry 4.0 Technologies," Sustainability, MDPI, vol. 14(1), pages 1-35, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:461-:d:716241
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    Citations

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    Cited by:

    1. Mario Passalacqua & Robert Pellerin & Florian Magnani & Laurent Joblot & Frédéric Rosin & Esma Yahia & Pierre-Majorique Léger, 2025. "Safeguarding worker psychosocial well-being in the age of AI: The critical role of decision control," Post-Print hal-05345071, HAL.
    2. Jonathan Brodeur & Robert Pellerin & Isabelle Deschamps, 2022. "Operationalization of Critical Success Factors to Manage the Industry 4.0 Transformation of Manufacturing SMEs," Sustainability, MDPI, vol. 14(14), pages 1-35, July.
    3. Joelle Danielle Ngo Ndjama, 2025. "Leveraging the power of human resource analytics for enhanced decision making: opportunities and challenges," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(6), pages 53-69, August.
    4. Fuwen Hu & Song Bi & Yuanzhi Zhu, 2024. "Cooperative Game-Based Digital Twin Drives Decision Making: Overall Framework, Basic Formalization and Application Case," Mathematics, MDPI, vol. 12(2), pages 1-22, January.
    5. Estefania Tobon-Valencia & Samir Lamouri & Robert Pellerin & Alexandre Moeuf, 2022. "Modeling of the Master Production Schedule for the Digital Transition of Manufacturing SMEs in the Context of Industry 4.0," Sustainability, MDPI, vol. 14(19), pages 1-28, October.

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