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  4. Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
 
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Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies

Citation Link: https://doi.org/10.15480/882.4001
Publikationstyp
Conference Paper
Date Issued
2021-12-01
Sprache
English
Author(s)
Benz, Lukas  
Münch, Christopher  
Hartmann, Evi  
Herausgeber*innen
Jahn, Carlos  orcid-logo
Kersten, Wolfgang  orcid-logo
Ringle, Christian M.  orcid-logo
TORE-DOI
10.15480/882.4001
TORE-URI
http://hdl.handle.net/11420/11220
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
32
Start Page
375
End Page
400
Citation
Hamburg International Conference of Logistics (HICL) 32: 375-400 (2021)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2021  
Publisher Link
https://www.epubli.de/shop/buch/Adapting-to-the-Future-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783754927717/121490
Publisher
epubli
Peer Reviewed
true
Purpose: Due to climate change the Arctic ice is melting, opening new possibilities for the economical use of the Arctic Ocean. However, the decision for shipping companies to transport freight through Arctic waters is based on many factors. The aim of the research is to develop a decision-supporting guidance for shipping companies.
Methodology: Based on a literature review and subsequent validation through expert interviews, influencing factors are identified and classified using a framework covering Benefits, Opportunities, Costs, and Risks. A fuzzy set theory to structure multi-criteria decision problems is applied afterward.
Findings: The results show that equipment, insurance, and inadequate port infrastructure are the factors with the highest influence in the Costs category and are the most influential factors overall. Security and market potential, the factors with the greatest impact on the Opportunities category, also rank highly as influential overall factors. The strongest Risk factors are weather conditions, delay, and collisions / accidents. The highest influence in the Benefits category are reduced costs.
Originality: The influencing factors for Arctic freight shipping have so far only been considered in part with risks focus or other specific aspects, but not in the overall context. To consider multiple perspectives, 24 experts from different domains were involved.
DDC Class
330: Wirtschaft
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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