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Optimization and Big Data in Logistics and Supply Chain Management

This special issue belongs to the section “E2: Control Theory and Mechanics“.

Special Issue Information

Dear Colleagues,

The application of Big Data in logistics and supply chain management is attracting growing attention because of the necessity of improving its efficiency. The new reality of computing, with greater storage and information processing capabilities, is allowing the development of new models and methods that focus on optimizing the different processes.

This Special Issue invites papers on both data analysis and optimization topics with potential application in logistics and supply chain management. We solicit papers that incorporate new ideas, results, innovative, modern methodologies and algorithms. We also encourage the submission of papers that include applications to real-life problems and its implementation results. 

Research papers, review articles and short communications are invited.

Dr. Alejandro Escudero-Santana
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. 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

  • optimization algorithms applied to logistic and supply chain management
  • heuristics and metaheuristics
  • mathematical model applied to logistic and supply chain management
  • best practices of big data models
  • new algorithms being developed specifically for big data environment
  • big data analytics
  • data science
  • analysis of real-time data in the optimization of logistics processes
  • real-world applications of artificial intelligence and machine learning in big data

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Mathematics - ISSN 2227-7390
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