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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

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/009E8175-DEAB-4174-AEEA-DA158860AE98-
Αναγνωριστικόhttps://doi.org/10.1080/00207543.2021.1914355-
Αναγνωριστικόhttps://www.tandfonline.com/doi/full/10.1080/00207543.2021.1914355-
Γλώσσαen-
Μέγεθος21 pagesen
ΤίτλοςTowards AI driven environmental sustainability: an application of automated logistics in container port terminalsen
ΔημιουργόςTsolakis Naoumen
ΔημιουργόςZissis Dimitrisen
ΔημιουργόςPapaefthymiou Spyridonen
ΔημιουργόςΠαπαευθυμιου Σπυριδωνel
ΔημιουργόςKorfiatis Nikolaosen
ΕκδότηςTaylor & Francisen
ΠερίληψηArtificial 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2022-12-08-
Ημερομηνία Δημοσίευσης2022-
Θεματική ΚατηγορίαIntelligent port logisticsen
Θεματική ΚατηγορίαArtificial intelligenceen
Θεματική ΚατηγορίαAutomated Guided Vehiclesen
Θεματική ΚατηγορίαContainer port managementen
Θεματική ΚατηγορίαVehicle routingen
Θεματική ΚατηγορίαEnvironmental sustainabilityen
Βιβλιογραφική ΑναφοράN. 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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