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

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  • Naoum Tsolakis
  • Dimitris Zissis
  • Spiros Papaefthimiou
  • Nikolaos Korfiatis

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.

Suggested Citation

  • Naoum Tsolakis & Dimitris Zissis & Spiros Papaefthimiou & Nikolaos Korfiatis, 2022. "Towards AI driven environmental sustainability: an application of automated logistics in container port terminals," International Journal of Production Research, Taylor & Francis Journals, vol. 60(14), pages 4508-4528, July.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:14:p:4508-4528
    DOI: 10.1080/00207543.2021.1914355
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    Cited by:

    1. Prisca Ugomma Uwaoma & Tobechukwu Francisa Eleogu & Franciscamary Okonkwo & Oluwatoyin Ajoke Farayola & Simon Kaggwa & Abiodun Akinoso, 2024. "AI’s Role in Sustainable Business Practices and Environmental Management," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 359-379, January.
    2. Jieyin Lyu & Fuli Zhou & Yandong He, 2023. "Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement," Sustainability, MDPI, vol. 15(22), pages 1-28, November.
    3. Dimitris Zissis, 2023. "Information sharing through digitalisation in decentralised supply chains," Annals of Operations Research, Springer, vol. 327(2), pages 763-778, August.
    4. Ghobakhloo, Morteza & Asadi, Shahla & Iranmanesh, Mohammad & Foroughi, Behzad & Mubarak, Muhammad Faraz & Yadegaridehkordi, Elaheh, 2023. "Intelligent automation implementation and corporate sustainability performance: The enabling role of corporate social responsibility strategy," Technology in Society, Elsevier, vol. 74(C).

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