Show simple item record

dc.contributor.author Dais, S. pt_BR
dc.contributor.author Stamelou, A. pt_BR
dc.contributor.author Sobrino, N. pt_BR
dc.contributor.author Vassallo, J. pt_BR
dc.contributor.author Dias, G. pt_BR
dc.contributor.author Arsénio, E. pt_BR
dc.contributor.author Mulhern, E. pt_BR
dc.date.accessioned 2025-08-22T14:59:38Z pt_BR
dc.date.accessioned 2025-11-27T12:21:00Z
dc.date.available 2025-08-22T14:59:38Z pt_BR
dc.date.available 2025-11-27T12:21:00Z
dc.date.issued 2025-03-25 pt_BR
dc.identifier.uri http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018804
dc.description.abstract ADMIRAL seeks to develop and pilot AI-driven solutions for managing logistics supply chains to reduce transport and logistics emissions and to increase transparency, resilience, and stakeholder cooperation. This deliverable reports the results of the Task 2.4 - Development of factors and KPIs to measure sustainability - carried out in the project’s Work Package 2 - Sustainable Development of logistics & transport. The primary aim of Deliverable 2.4 is to propose a sustainability maturity model by identifying and proposing reference Key Performance Indicators (KPIs) to measure sustainability, adapting the STAR model to estimate the overall sustainability rating of logistics solutions, and determining the probability of sustainability noncompliance risks in various activities. In addition, Deliverable 2.4 analyses the requirements and proposes the specifications for the validation of a green port certification. To achieve its aims, the report elaborates a multifaceted approach by mixing methodological tools and analyses, such as desk research, expert validation (workshops, online consultation, questionnaires), the STAR model methodology for evaluating the sustainability of ADMIRAL logistics solutions and the Bayesian Network analysis for the sustainability risk noncompliance of the AM. It also deploys an in-depth analysis of the regulatory framework, to correlate selected KPIs with EU regulations. This ensures that the ADMIRAL project complies with policies that enhance efficiency, safety, and environmental impact. pt_BR
dc.language.iso eng pt_BR
dc.relation 101104163 — ADMIRAL pt_BR
dc.rights restrictedAccess pt_BR
dc.subject Artificial intelligence pt_BR
dc.subject Sustainable transport pt_BR
dc.subject Sustainable logistics pt_BR
dc.subject Intelligent supply chains pt_BR
dc.subject Key performance indicators pt_BR
dc.subject European regulations pt_BR
dc.subject Maturity models pt_BR
dc.subject Bayesian network model pt_BR
dc.subject Multimodal freight transport pt_BR
dc.subject Green ports pt_BR
dc.title Sustainability maturity model pt_BR
dc.type workingPaper pt_BR
dc.description.comments Relatório científico submetido à Comissão Europeia em 25 de março de 2025, realizado no âmbito da tarefa 2.4 que integra o Work Package 2 - "Sustainable development of logistics & transport" coordenado pelo LNEC através da Investigadora Principal Elisabete Arsenio. O projeto de I&I é financiado pelo programa Horizonte Europa. pt_BR
dc.description.sector DT/CHEFIA pt_BR
dc.identifier.proc 0701/1101/23484 pt_BR
dc.contributor.arquivo SIM pt_BR


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account