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A multi-perspective framework to address manufacturing and transportation challenges in green hydrogen supply chains
Citation Link: https://doi.org/10.15480/882.15058
Publikationstyp
Conference Paper
Date Issued
2025
Sprache
English
TORE-DOI
Journal
Volume
253
Start Page
673
End Page
682
Citation
Procedia Computer Science 253: 673-682 (2025)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
The strategic changeover towards green hydrogen supply chains entails a large number of challenges in determining strategic manufacturing, transportation, and supply chain decisions such as the locations for the generation and storage or the transport mode for the transfer of green hydrogen. Such decisions face three dedicated obstacles interesting for research analysis. First, such decisions in a greenfield setting have in many cases never been made before, reducing the access to historical information about manufacturing and transportation volumes, aggravated by new levels of uncertainty in many global manufacturing and transportation contexts. Second, at the same time, new data sources and computation capabilities become available in a digital Industry 4.0 setting, creating big data and data lake settings where traditional decision support methodologies have limited access and use in this regard. Third, an integrated evaluation of economic, environmental, and social sustainability aspects together with a resilience perspective is required as trade-offs between these different performance dimensions have to be incorporated. This paper outlines and addresses the three specific challenges by deriving a concept of how to integrate the three standard sustainability perspectives with the added resilience perspective and how to tailor this towards decision-making in a strategic, data-driven and digital setting of emerging green hydrogen supply chains.
Subjects
big data | decision support | Green hydrogen | resilience | sustainability
DDC Class
658: General Managament
333: Economics of Land and Energy
338: Production
Publication version
publishedVersion
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Name
1-s2.0-S1877050925001371-main.pdf
Type
Main Article
Size
1.2 MB
Format
Adobe PDF