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

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-supportin...

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Main Authors: Benz, Lukas, Münch, Christopher, Hartmann, Evi
Format: Conference Object
Language:English
Published: epubli 2021
Subjects:
Online Access:http://hdl.handle.net/11420/11220
https://doi.org/10.15480/882.4001
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spelling fttuhamburg:oai:tore.tuhh.de:11420/11220 2023-10-01T03:53:09+02:00 Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies Benz, Lukas Münch, Christopher Hartmann, Evi 2021-12-01 application/pdf http://hdl.handle.net/11420/11220 https://doi.org/10.15480/882.4001 en eng epubli Proceedings of the Hamburg International Conference of Logistics (HICL) Hamburg International Conference of Logistics (HICL) 2021 978-3-754927-71-7 2365-5070 Hamburg International Conference of Logistics (HICL) 32: 375-400 (2021) http://hdl.handle.net/11420/11220 doi:10.15480/882.4001 https://creativecommons.org/licenses/by-sa/4.0/ false 330: Wirtschaft Conference Paper Other 2021 fttuhamburg https://doi.org/10.15480/882.4001 2023-09-03T22:13:32Z 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. Conference Object Arctic Arctic Ocean Climate change TUHH Open Research (TORE - Technische Universität Hamburg) Arctic Arctic Ocean
institution Open Polar
collection TUHH Open Research (TORE - Technische Universität Hamburg)
op_collection_id fttuhamburg
language English
topic 330: Wirtschaft
spellingShingle 330: Wirtschaft
Benz, Lukas
Münch, Christopher
Hartmann, Evi
Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
topic_facet 330: Wirtschaft
description 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.
format Conference Object
author Benz, Lukas
Münch, Christopher
Hartmann, Evi
author_facet Benz, Lukas
Münch, Christopher
Hartmann, Evi
author_sort Benz, Lukas
title Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
title_short Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
title_full Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
title_fullStr Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
title_full_unstemmed Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies
title_sort fuzzy-based decision analysis on arctic transportation: a guidance for freight shipping companies
publisher epubli
publishDate 2021
url http://hdl.handle.net/11420/11220
https://doi.org/10.15480/882.4001
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Climate change
genre_facet Arctic
Arctic Ocean
Climate change
op_relation Proceedings of the Hamburg International Conference of Logistics (HICL)
Hamburg International Conference of Logistics (HICL) 2021
978-3-754927-71-7
2365-5070
Hamburg International Conference of Logistics (HICL) 32: 375-400 (2021)
http://hdl.handle.net/11420/11220
doi:10.15480/882.4001
op_rights https://creativecommons.org/licenses/by-sa/4.0/
false
op_doi https://doi.org/10.15480/882.4001
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