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Tsolakis, Naoum, Zissis, Dimitris 
ORCID: https://orcid.org/0000-0002-6957-3494, Papaefthimiou, Spiros and Korfiatis, Nikolaos ORCID: https://orcid.org/0000-0001-6377-4837
(2022)
Towards AI driven environmental sustainability: an application of automated logistics in container port terminals.
International Journal of Production Research, 60 (14).
pp. 4508-4528.
ISSN 0020-7543
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Abstract
Artificial 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.
| Item Type: | Article |
|---|---|
| Additional Information: | Special Issue: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research |
| Uncontrolled Keywords: | automated guided vehicles,artificial intelligence,container port management,environmental sustainability,intelligent port logistics,vehicle routing,strategy and management,management science and operations research,industrial and manufacturing engineering,sdg 9 - industry, innovation, and infrastructure,sdg 12 - responsible consumption and production,3* ,/dk/atira/pure/subjectarea/asjc/1400/1408 |
| Faculty \ School: | Faculty of Social Sciences > Norwich Business School |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 11 May 2021 00:14 |
| Last Modified: | 23 Oct 2022 02:26 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/79967 |
| DOI: | 10.1080/00207543.2021.1914355 |
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