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State of research in arctic maritime logistics
Citation Link: https://doi.org/10.15480/882.3145
Publikationstyp
Conference Paper
Date Issued
2020-09-23
Sprache
English
Herausgeber*innen
TORE-DOI
TORE-URI
First published in
Number in series
30
Volume
30
Start Page
383
End Page
407
Citation
Hamburg International Conference of Logistics (HICL 2020)
Contribution to Conference
Publisher
epubli
Purpose: The Arctic is of interest for many states and commercial organizations as it has a large undiscovered potential but very challenging climate and logistical condi-tions. Arctic maritime logistics need significant investments in infrastructure and is supposed to cause a minimal impact on the environment during port operations and cargo transit by creating efficient and safe supply chains. At the same time, ensuring the most efficient, reliable and safe functioning of supply chains is required. Methodology: The methodological basis of the paper is the analysis and structuring of existing publications on Arctic maritime logistics, a systematic review and formu-lation an applied system of relevant performance indicators related to Arctic supply chains (e.g. ice conditions, vessels and their parameters, the safe operation of float-ing production facilities and properties of ports). Findings: The result of this paper is a systematic overview of the current state of re-search on Arctic maritime logistics challenges and the influencing key performance indicators as well as approaches to assess the performance at all stages of the Arctic supply chain to facility and improve Arctic supply chains in the future. Originality: The originality of the study is defined by the scope of the review con-ducted. It is the first comprehensive overview over Arctic supply chains covering all relevant countries from a maritime logistics standpoint. The results of this paper cre-ate a solid foundation for further research in the area of developments of Arctic mar-itime logistics.
Subjects
Logistics
Industry 4.0
Supply Chain Management
Sustainability
City Logistics
Maritime Logistics
Data Science
DDC Class
620: Ingenieurwissenschaften
Publication version
publishedVersion
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Ilin et al. (2020) - State of Research in Arctic Maritime Logistics.pdf
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