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

Benz L, Münch C, Hartmann E (2021)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2021

Publisher: epubli GmbH

Series: Proceedings of the Hamburg International Conference of Logistics (HICL)

City/Town: Berlin

Book Volume: 32

Pages Range: 375-400

Conference Proceedings Title: Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability

Event location: Hamburg DE

ISBN: 9783754927717

DOI: 10.15480/882.4001

Abstract

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.

Authors with CRIS profile

Lukas Benz Lehrstuhl für Betriebswirtschaftslehre, insbesondere Supply Chain Management Christopher Münch Lehrstuhl für Betriebswirtschaftslehre, insbesondere Supply Chain Management Eva Maria Hartmann Lehrstuhl für Betriebswirtschaftslehre, insbesondere Supply Chain Management

How to cite

APA:

Benz, L., Münch, C., & Hartmann, E. (2021). Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies. In Carlos Jahn, Wolfgang Kersten, Christian M. Ringle (Eds.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability (pp. 375-400). Hamburg, DE: Berlin: epubli GmbH.

MLA:

Benz, Lukas, Christopher Münch, and Evi Hartmann. "Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies." Proceedings of the 2021 Hamburg International Conference of Logistics: Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability, HICL 2021, Hamburg Ed. Carlos Jahn, Wolfgang Kersten, Christian M. Ringle, Berlin: epubli GmbH, 2021. 375-400.

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