Simulation and Artificial Intelligence for Sustainable Industrial and Service Systems

Dear Colleagues,

The model‐based paradigm is recognized as a powerful approach to sustainable systems engineering in many disciplines, and modeling and simulation (M&S) provides a core mechanism to such an approach. From another perspective, data-driven approaches are gaining tremendous interest in AI-based decision-making at all stages of the sustainable systems life cycle. Ideally, both should go hand in hand—specifically in the context of Industry 5.0 sustainability, where sustainable modern systems are not only studied from a technological perspective, but also considering human-centric aspects.

M&S and AI can be endogenously integrated, where AI is embedded within M&S (e.g., simulation agents are empowered with learning capabilities) or M&S is embedded within AI (e.g., learning algorithms are trained with simulation data instead of real-world data), or in an exogenous integration (where AI and M&S are coupled as interacting black boxes). From that perspective, computational, physical, and cognitive dimensions can be involved.

This Special Issue seeks original research articles and reviews on the most recent advances in sustainable methodologies, practices, tools, and applications to M&S and AI hybridization, in the context of Industry 5.0 sustainability.

We welcome contributions on, but not limited to, the following:

• Integrated AI and simulation approaches and applications;
• Simulation and AI for sustainability and resilience;
• Digital twin engineering;
• Digital-twin-driven system analysis, design, control, and optimization.

We look forward to receiving your contributions.

Prof. Dr. Mamadou K. Traoré
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• modelling and simulation
• sustainable artificial intelligence
• digital twin
• sustainable intelligent systems