Artificial Intelligence and Operations Research for Logistics, Supply Chain and Optimization Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1431
Special Issue Editors
Interests: industrial engineering; logistics and supply chain management; optimization; artificial intelligence
Interests: optimization modeling; optimization; system control mathematical modelling; heuristics; evolutionary computations; particle swarm optimization; scheduling; artificial intelligence, decision science
Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) with Operations Research (OR) has become increasingly vital in addressing the complex challenges faced in logistics, supply chain management, and optimization systems. In today’s fast-paced and data-driven world, industries demand intelligent, adaptive, and efficient solutions that surpass traditional decision-making frameworks. AI techniques, such as machine learning, deep learning, and reinforcement learning, are currently being combined with classical OR models like mathematical programming, network flows, and metaheuristics to enhance planning, forecasting, routing, and resource allocation.
This Special Issue seeks submissions of original research exploring innovative models, algorithms, and real-world applications of AI and OR in solving problems across the logistics and supply chain domains. Topics of interest include, but are not limited to, AI-enhanced optimization, predictive analytics, intelligent transportation systems, inventory control, production planning, last-mile delivery, and sustainable logistics. Studies that demonstrate hybrid approaches, computational experiments, or interdisciplinary contributions with real impacts are especially welcome.
We invite researchers, practitioners, and thought leaders to contribute high-quality articles that reflect the latest theoretical advances in and practical implementations of this exciting and evolving field.
Dr. Natthapong Nanthasamroeng
Prof. Dr. Rapeepan Pitakaso
Guest Editors
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. Mathematics 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 2600 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
- operations research
- logistics optimization
- supply chain management
- machine learning
- mathematical modeling
- metaheuristics
- intelligent transportation systems
- decision support systems
- predictive analytics
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