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Foundations for carbon accountability in manufacturing: the role of digital traceability and industrial AI in decarbonization-Digital contribution to COP28: transition away from fossil fuels by 2050. What and how?

authorProfile.emailniklasweis@freenet.de
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorCastro, João
dc.contributor.authorWeis, Niklas
dc.date.accessioned2026-06-12T14:40:00Z
dc.date.available2026-06-12T14:40:00Z
dc.date.issued2025-09-23
dc.date.submitted2025-06-12
dc.description.abstractThis thesis examines how digital traceability systems establish the data foundations required for emissions transparency and how industrial AI then leverages those foundations to improve efficiency and reduce carbon in manufacturing. Focusing on Scope 1 and 2 emissions, it analyses key regulatory drivers - particularly EU and US climate‐disclosure frameworks - and their strategic implications for industrial firms. Drawing on secondary data and the aerospace sector as a case example, the study demonstrates how traceability infrastructures paired with AI analytics enable compliance, enhance operational performance, and pave the way toward data driven sustainability.eng
dc.identifier.tid204133777
dc.identifier.urihttp://hdl.handle.net/10362/203764
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectIndustrial AI
dc.subjectDigital traceability
dc.subjectManufacturing decarbonization
dc.subjectScope 1 and 2 emissions
dc.subjectCEMS MIM
dc.titleFoundations for carbon accountability in manufacturing: the role of digital traceability and industrial AI in decarbonization-Digital contribution to COP28: transition away from fossil fuels by 2050. What and how?eng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project presented as part of the requirements for the Award of a Master’s Degree in Business Analytics from the Nova School of Business and Economics

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