Artificial Intelligence Applications in Logistics and Supply Chain Simulation
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI Systems: Theory and Applications".
Deadline for manuscript submissions: 15 January 2027 | Viewed by 232
Special Issue Editor
Interests: process improvement; lean; Industry 4.0 technologies; logistics systems; decision-making methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing complexity, uncertainty, and dynamic behavior of logistics and supply chain systems demand advanced modeling, simulation, and decision support approaches. While traditional simulation models remain essential tools for analyzing system behavior and performance, their effectiveness can be substantially enhanced through the integration of artificial intelligence (AI) techniques.
This Special Issue, titled “Artificial Intelligence Applications in Logistics and Supply Chain Simulation”, highlights recent theoretical, methodological, and application-oriented advances in AI-supported simulation modeling, analysis, and optimization. The aim is to bring together contributions that demonstrate how AI methods improve the adaptability, accuracy, and decision-making capabilities of simulation models across strategic, tactical, and operational levels.
Topics of interest include, but are not limited to, data-driven and machine learning-based simulation models, intelligent agent and multi-agent systems, reinforcement learning approaches for logistics control and scheduling, and simulation-based optimization using evolutionary and heuristic algorithms. In addition, this Special Issue welcomes studies on AI-enhanced digital twins and the integration of simulation models with real-time data sources, Internet of Things (IoT) technologies, and adaptive decision support systems.
This Special Issue invites original research articles, review papers, and case studies that provide detailed methodological descriptions, reproducible results, and, where applicable, openly accessible datasets or source codes. The published contributions are expected to advance the development of intelligent, resilient, and efficient logistics and supply chain systems through the combined use of simulation and artificial intelligence.
Dr. Péter Tamás
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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. AI is an international peer-reviewed open access monthly 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 1800 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.
Keywords
- artificial intelligence
- logistics simulation
- supply chain simulation
- digital twin
- machine learning
- reinforcement learning
- intelligent agents
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