<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The paper is based on the research project ePIcenter (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.ePIcenterproject.eu">www.ePIcenterproject.eu</ext-link>) supported by the EU HORIZON 2020 Programme. ePIcenter connects thirty-six partners: port authorities, logistic service providers, manufacturers, academic institutions, and technology partners. The main goal is to develop and test AI driven logistic software solutions, apply new technologies and methodologies to increase the efficiency of global supply chains and reduce their environmental impact. One of the significant aspect the project focusses on is optimisation, using AI, digitalisation, automation and innovations in freight transport and handling technologies. Finally, modelling powerful solutions to enable resilient, efficient and environment friendly supply chains.</p>
<p>Knowledge sharing is one of powerful tool for researchers, policymakers, service providers and other stakeholders to develop a holistic and comprehensive common knowledge base. First, a theoretical framework had been developed through identification and review knowledge available from previous projects funded through the European Commission as well as other international funding projects. Second, lessons learned and success stories from previous EC-funded projects and other international research programmes were reviewed and provided in the first year of project implementation.</p>
</abstract>

The paper is based on the research project ePIcenter (www.ePIcenterproject.eu) supported by the EU HORIZON 2020 Programme. ePIcenter connects thirty-six partners: port authorities, logistic service providers, manufacturers, academic institutions, and technology partners. The main goal is to develop and test AI driven logistic software solutions, apply new technologies and methodologies to increase the efficiency of global supply chains and reduce their environmental impact. One of the significant aspect the project focusses on is optimisation, using AI, digitalisation, automation and innovations in freight transport and handling technologies. Finally, modelling powerful solutions to enable resilient, efficient and environment friendly supply chains.
Knowledge sharing is one of powerful tool for researchers, policymakers, service providers and other stakeholders to develop a holistic and comprehensive common knowledge base. First, a theoretical framework had been developed through identification and review knowledge available from previous projects funded through the European Commission as well as other international funding projects. Second, lessons learned and success stories from previous EC-funded projects and other international research programmes were reviewed and provided in the first year of project implementation.

Ec-Funded Projects’ Lessons Learned In Earth Friendly Freight Transportation

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The paper is based on the research project ePIcenter (www.ePIcenterproject.eu) supported by the EU HORIZON 2020 Programme. ePIcenter connects thirty-six...

Ec-Funded Projects’ Lessons Learned In Earth Friendly Freight Transportation

Online veröffentlicht: 16. Nov. 2022

Seitenbereich: 352 - 363

DOI: https://doi.org/10.2478/ttj-2022-0029

Schlüsselwörter
projects, transportation, supply chain, innovation, AI, IoT, big data

© 2022 Irina Yatskiv Jackiva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Ec-Funded Projects’ Lessons Learned In Earth Friendly Freight Transportation

Online veröffentlicht: 16. Nov. 2022

Seitenbereich: 352 - 363

DOI: https://doi.org/10.2478/ttj-2022-0029

Schlüsselwörterprojects, transportation, supply chain, innovation, AI, IoT, big data

© 2022 Irina Yatskiv Jackiva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
projects, transportation, supply chain, innovation, AI, IoT, big data