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Cited by 19Maritime Ports and LogisticsImpact of AI and Big Data on Business and SocietyMaritime Navigation and Safety

The Impacts of the Applications of Artificial Intelligence in Maritime Logistics

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AYLAK, Batin Latif·2022·European Journal of Science and Technology
DOI 10.31590/ejosat.1079206
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Abstract

This study aims to identify current approaches in the usage of Artificial Intelligence (AI) methods for solving shipping problems. Recent advances in AI are being examined, and the way it is adapted to maritime logistics is reviewed. In this study, 66 papers dealing with AI in the maritime industry are reviewed bibliometrically. Research data were primarily sourced from databases of IEEE Xplore, Web of Science, ScienceDirect (Elsevier), Sciences Citation Index, Google Scholar, Springer, and journals. Selected papers are categorized and classified, and the outcomes of some noteworthy publications are discussed in detail. A comprehensive assessment is also presented, which highlights research gaps and forecasts future research orientations. Two possible areas in the maritime industry are proposed for further research using AI capabilities. Predictive analysis is the first domain, followed by energy efficiency optimization. In addition, Machine Learning (ML) and Operations Research (OR) have fostered a growing interest in automating the learning of heuristics to solve optimization problems to avoid the need for expensive and inefficient human labour to create highly specialized heuristics. Future research can take advantage of these new ML approaches to address Maritime Logistics problems utilizing the ever-increasing amount of data available. Future research on maritime logistics can also develop learning models based on the identified gaps.

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Cited by

Sorted by citations

Authors
AYLAK, B. L.
Affiliations
Türkisch-Deutsche Universität (TR)
Corresponding author
AYLAK, Batin Latif
ORCID
AYLAK, Batin Latif
Venue
European Journal of Science and Technology
Publisher
ASOS Yayinevi
Published
2022-03-02
ISSN
2148-2683 (ISSN-L)
DOI
10.31590/ejosat.1079206
OpenAlex
W4220741294
Cited by
19
References
1
Citations by year
2026: 2 · 2025: 9 · 2024: 6 · 2023: 2
FWCI
1.84
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • European Journal of Science and Technology (publishedVersion, cc-by-nc)
  • DergiPark (Istanbul University) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Maritime Ports and Logistics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Engineering › Ocean Engineering › Maritime Navigation and Safety
Keywords
artificial intelligence, maritime logistics, maritime transport, predictive analytics, energy efficiency optimization, machine learning, operations research, heuristic learning, research gaps, research trends

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