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  1. 15 lip 2024 · Submission process and papers must adhere to the standard author guidelines of Transportation Research Part E: Logistics and Transportation Review, which can be found at: https://www.elsevier.com/journals/transportation-research-part-e-logistics-and-transportation-review/1366-5545/guide-for-authors

  2. Transportation Research Part E: Logistics and Transportation Review publishes informative and high quality articles drawn from across the spectrum of logistics and transportation research. Subjects include, but are not limited to: Logistics and supply-chain management topics.

  3. Transportation Research Part E: Logistics and Transportation Review publishes informative and high quality articles drawn from across the spectrum of logistics and transportation research. Subjects include, but are not limited to: Transport economics including cost and production functions, capacity, demand, pricing, externalities, modal studies;

  4. 1 cze 2023 · Through a comprehensive review of the existing literature, we seek to address the following research questions: What AI techniques are mostly used for warehouse management under the DT paradigm? How is AI employed to ensure and elevate WDT functions?

  5. Logistics is an international, scientific, peer-reviewed, open access journal of logistics and supply chain management published quarterly online by MDPI. The first issue has been released in December 2017. Open Access — free for readers, with article processing charges (APC) paid by authors or their institutions.

  6. All articles published by Artificial Intelligence Review are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Benefits of open access. Publishing open access offers a number of benefits, including greater reach and readership for your work: Cited more.

  7. 1 cze 2023 · Review: The article is well structured with documented and commented performed literature review. It is a valuable source of information for identifying the scope of future research on implementing AI in digital twins of warehousing processes.

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