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Systems
Article . 2023 . Peer-reviewed
License: CC BY
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Systems
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Systems
Article . 2023
Data sources: DOAJ
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Article . 2023
Data sources: DBLP
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Decarbonization Measure: A Concept towards the Acceleration of the Automotive Plant Decarbonization

Authors: Sami Alexandre Succar; Daniel Brissaud; Damien Evrard; Dominik Flick; Damien De la Fontaine;

Decarbonization Measure: A Concept towards the Acceleration of the Automotive Plant Decarbonization

Abstract

Smart manufacturing systems enable simultaneous addressing of productivity, sustainability, and social improvements. The implementation of such systems in industries such as the automotive industry represents a promising way to meet stakeholders’ requirements concerning the decarbonization of their productive activities. In fact, this task is truly challenging for the automotive industry considering their complex organizational issues, generating knowledge sharing problems, and the diversity of plants’ context and characteristics. These facts make any decarbonization solution local, instead of being spread to a maximum of production units to potentially enhance decarbonization time efficiency. This article tackles these issues by providing a new organizational concept dealing with the relationships between decarbonization actors (energy managers and consultants) supported by the technical design of an IT knowledge management tool. These contributions will be based on the concept of decarbonization measure (DM) and illustrated by the case of Stellantis, one of the world leaders in terms of vehicle production, which develops a new organizational structure from local energy managers to corporate energy consultants.

Country
France
Keywords

TA168, 330, decarbonization, [SDE.IE]Environmental Sciences/Environmental Engineering, T1-995, data management, automotive industry, Technology (General), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 620, Systems engineering

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
gold