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Advances in Computational Methods for Logistics and Supply Chain Optimization

Special Issue Information

Dear Colleagues,

The increasing complexity of global supply chains and logistics systems requires advanced computational methods that combine efficiency, sustainability, and flexibility. The digital transformation of logistics requires modern and innovative modeling and optimization techniques capable of handling large-scale, data-intensive, and multi-objective decision problems, especially in e-commerce, electromobility, and smart infrastructure. Traditional analytical tools often fall short in capturing the dynamic, uncertain, and interdependent nature of modern supply networks, creating the need for more robust computational frameworks.

This Special Issue invites contributions that explore novel modeling or designing computational methods—such as machine learning, simulation, digital twins, metaheuristics, evolutionary algorithms, and hybrid optimization frameworks—for solving logistics and supply chain challenges. Topics of interest include, but are not limited to, urban parcel distribution and last-mile delivery optimization, electromobility and sustainable transport integration, network design under uncertainty, predictive and prescriptive analytics for demand and inventory management, multi-criteria decision-making in green supply chains, and optimization strategies.

This Special Issue aims to provide a comprehensive overview of how computational methods can enhance logistics performance, enable sustainable urban parcel delivery, reduce environmental waste, and support policy objectives for resilient and adaptive supply chain networks.

Dr. János Juhász
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Computation 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

  • computational intelligence
  • supply chain optimization
  • logistics modeling
  • electromobility
  • sustainable urban distribution
  • genetic algorithms
  • simulation frameworks
  • last-mile delivery
  • predictive analytics
  • resilient supply chains

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Published Papers