IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v293y2026ics0925527325003081.html

Leveraging digital twin and dynamic scheduling for enhanced human–robot collaboration

Author

Listed:
  • Hémono, Pierre
  • Nait Chabane, Ahmed
  • Sahnoun, M’hammed

Abstract

Industry 5.0 represents a paradigm shift toward human-centric, resilient, and sustainable production systems. At the core of this transformation lies digital twins, which enable predictive and prescriptive analytics in real time, improving decision-making capabilities such as visibility, transparency, and collaboration. By integrating advanced AI algorithms for data interpretation and facilitating seamless human–machine interactions, digital twins address critical challenges in modern industrial systems. This article explores the transformative role of digital twins in operational decision-making, focusing on their ability to optimize workflows, and foster collaboration between humans and robots. Through a dual-layer methodology macro-level task scheduling for efficiency and consideration of human factors and micro-level real-time control for adaptability, digital twins offer a powerful framework for aligning human and robotic capabilities while mitigating human fatigue and improving decision transparency. Highlighting applications in digital transformation, optimization, and human–AI collaboration, this study emphasizes how digital twins enhance operational visibility and resilience. The findings contribute to the evolution of Industry 5.0, offering innovative solutions for integrating predictive models and human-centered approaches in decision-making, redefining the future of sustainable and collaborative industrial systems.

Suggested Citation

  • Hémono, Pierre & Nait Chabane, Ahmed & Sahnoun, M’hammed, 2026. "Leveraging digital twin and dynamic scheduling for enhanced human–robot collaboration," International Journal of Production Economics, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:proeco:v:293:y:2026:i:c:s0925527325003081
    DOI: 10.1016/j.ijpe.2025.109823
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527325003081
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2025.109823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mohamed Ali Aloulou & Marie-Claude Portmann, 2005. "An Efficient Proactive-Reactive Scheduling Approach to Hedge Against Shop Floor Disturbances," Springer Books, in: Graham Kendall & Edmund K. Burke & Sanja Petrovic & Michel Gendreau (ed.), Multidisciplinary Scheduling: Theory and Applications, pages 223-246, Springer.
    2. Sgarbossa, F. & Grosse, E. H. & Neumann, W. P. & Battini, D. & Glock, C. H., 2020. "Human factors in production and logistics systems of the future," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 120615, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Bouaziz, Nourddine & Bettayeb, Belgacem & Sahnoun, M’hammed & Yassine, Adnan, 2024. "Incorporating uncertain human behavior in production scheduling for enhanced productivity in Industry 5.0 context," International Journal of Production Economics, Elsevier, vol. 274(C).
    4. M’hammed Sahnoun & David Baudry & Navonil Mustafee & Anne Louis & Philip Andi Smart & Phil Godsiff & Belahcene Mazari, 2019. "Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2981-2997, December.
    5. S. David Wu & Eui-Seok Byeon & Robert H. Storer, 1999. "A Graph-Theoretic Decomposition of the Job Shop Scheduling Problem to Achieve Scheduling Robustness," Operations Research, INFORMS, vol. 47(1), pages 113-124, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    2. Hajej Zied & Rezg Nidhal & Kammoun Mohamed Ali & Bouzouba Maryem, 2024. "Improved maintenance strategy for the wind turbine system under operating and climatic conditions," Journal of Risk and Reliability, , vol. 238(2), pages 349-365, April.
    3. Briand, Cyril & La, H. Trung & Erschler, Jacques, 2006. "A new sufficient condition of optimality for the two-machine flowshop problem," European Journal of Operational Research, Elsevier, vol. 169(3), pages 712-722, March.
    4. Gökalp, E. & Gülpınar, N. & Doan, X.V., 2023. "Dynamic surgery management under uncertainty," European Journal of Operational Research, Elsevier, vol. 309(2), pages 832-844.
    5. Brauner, Philipp & Ziefle, Martina, 2022. "Beyond playful learning – Serious games for the human-centric digital transformation of production and a design process model," Technology in Society, Elsevier, vol. 71(C).
    6. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    7. Yue Chen & Yisong Li, 2024. "Storage Location Assignment for Improving Human–Robot Collaborative Order-Picking Efficiency in Robotic Mobile Fulfillment Systems," Sustainability, MDPI, vol. 16(5), pages 1-25, February.
    8. 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.
    9. Artigues, Christian & Billaut, Jean-Charles & Esswein, Carl, 2005. "Maximization of solution flexibility for robust shop scheduling," European Journal of Operational Research, Elsevier, vol. 165(2), pages 314-328, September.
    10. Sumona Mukhuty & Arvind Upadhyay & Holly Rothwell, 2022. "Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2068-2081, July.
    11. Pengbo Yang, 2022. "Information Management in the Logistics and Distribution Sector Using Metaheuristic Techniques," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global Scientific Publishing, vol. 15(4), pages 1-21, October.
    12. Saleh, Ali & Chiachío, Manuel & Salas, Juan Fernández & Kolios, Athanasios, 2023. "Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    13. Yuli Zhang & Zuo-Jun Max Shen & Shiji Song, 2018. "Exact Algorithms for Distributionally β -Robust Machine Scheduling with Uncertain Processing Times," INFORMS Journal on Computing, INFORMS, vol. 30(4), pages 662-676, November.
    14. Joblot Laurent & Rosin Frédéric & Magnani Florian & Robert Pellerin & Mario Passalacqua, 2025. "LEAN et outils d'immersion à l'heure de l'Industrie 5.0: Une coexistence encore à justifier," Post-Print hal-05222863, HAL.
    15. Laslo, Zohar & Golenko-Ginzburg, Dimitri & Keren, Baruch, 2008. "Optimal booking of machines in a virtual job-shop with stochastic processing times to minimize total machine rental and job tardiness costs," International Journal of Production Economics, Elsevier, vol. 111(2), pages 812-821, February.
    16. Bruton, Garry D. & Mejia-Morelos, Jorge H. & Ahlstrom, David, 2025. "Multinational corporations and inclusive supply chains: How conflicting social and market logics can coexist," Journal of World Business, Elsevier, vol. 60(6).
    17. Xiong, Jian & Xing, Li-ning & Chen, Ying-wu, 2013. "Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns," International Journal of Production Economics, Elsevier, vol. 141(1), pages 112-126.
    18. Frederix, Florent, 2001. "An extended enterprise planning methodology for the discrete manufacturing industry," European Journal of Operational Research, Elsevier, vol. 129(2), pages 317-325, March.
    19. Diego Francisco Larios & Enrique Personal & Antonio Parejo & Sebastián García & Antonio García & Carlos Leon, 2020. "Operational Simulation Environment for SCADA Integration of Renewable Resources," Energies, MDPI, vol. 13(6), pages 1-37, March.
    20. Cardin, Olivier & Mebarki, Nasser & Pinot, Guillaume, 2013. "A study of the robustness of the group scheduling method using an emulation of a complex FMS," International Journal of Production Economics, Elsevier, vol. 146(1), pages 199-207.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:293:y:2026:i:c:s0925527325003081. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.