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Towards AI driven environmental sustainability: an application of automated logistics in container port terminals

Tsolakis Naoum, Zissis Dimitris, Papaefthymiou Spyridon, Korfiatis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/009E8175-DEAB-4174-AEEA-DA158860AE98-
Identifierhttps://doi.org/10.1080/00207543.2021.1914355-
Identifierhttps://www.tandfonline.com/doi/full/10.1080/00207543.2021.1914355-
Languageen-
Extent21 pagesen
TitleTowards AI driven environmental sustainability: an application of automated logistics in container port terminalsen
CreatorTsolakis Naoumen
CreatorZissis Dimitrisen
CreatorPapaefthymiou Spyridonen
CreatorΠαπαευθυμιου Σπυριδωνel
CreatorKorfiatis Nikolaosen
PublisherTaylor & Francisen
Content SummaryArtificial intelligence and data analytics capabilities have enabled the introduction of automation, such as robotics and Automated Guided Vehicles (AGVs), across different sectors of the production spectrum which successively has profound implications for operational efficiency and productivity. However, the environmental sustainability implications of such innovations have not been yet extensively addressed in the extant literature. This study evaluates the use of AGVs in container terminals by investigating the environmental sustainability gains that arise from the adoption of artificial intelligence and automation for shoreside operations at freight ports. Through a comprehensive literature review, we reveal this research gap across the use of artificial intelligence and decision support systems, as well as optimisation models. A real-world container terminal is used, as a case study in a simulation environment, on Europe’s fastest-growing container port (Piraeus), to quantify the environmental benefits related to routing scenarios via different types of AGVs. Our study contributes to the cross-section of operations management and artificial intelligence literature by articulating design principles to inform effective digital technology interventions at non-automated port terminals, both at operational and management levels.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-12-08-
Date of Publication2022-
SubjectIntelligent port logisticsen
SubjectArtificial intelligenceen
SubjectAutomated Guided Vehiclesen
SubjectContainer port managementen
SubjectVehicle routingen
SubjectEnvironmental sustainabilityen
Bibliographic CitationN. Tsolakis, D. Zissis, S. Papaefthimiou, and N. Korfiatis, “Towards AI driven environmental sustainability: an application of automated logistics in container port terminals,” Int. J. Prod. Res., vol. 60, no. 14, pp. 4508–4528, July 2022, doi: 10.1080/00207543.2021.1914355.en

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