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Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty
Högskolan i Jönköping.ORCID iD: 0000-0002-8305-4412
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Reshoring decisions are associated with both high complexity and uncertainty. The increased complexity is due to the vast number of factors that need to be considered, while the uncertainty is due to the lack of sufficient information. The existing decision-making frameworks are few and theoretical and have not incorporated uncertainty and complexity aspects. Moreover, they do not provide automatic or digital decision support. In order to deal with this, one of the essential branches of mathematics called fuzzy logic is integrated together with traditional analytical hierarchy process (AHP). The aim of this study is to investigate the feasibility of fuzzy analytical hierarchy process (FAHP) as a tool for reshoring decision making when complexity and uncertainty are involved. In order to achieve this, the FAHP was applied to six reshoring criteria, which also correspond to competitive priorities. The findings show that the criterion Quality received the highest weight, followed by the criterion Cost. It was found that the criterion Sustainability resulted in zero priority weight, which means that this criterion was not given importance in this decision. This reduced the complexity of the decision by removing irrelevant criteria in decision making. The fuzzy sets used for pairwise comparisons also incorporated uncertainty in the decision. The FAHP is a feasible tool for reshoring decision making for most of the decision scenarios. This reshoring decision-making tool is automatic, simple and less time consuming, and can be adapted to suit unique reshoring cases.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Reshoring decision making, FAHP, Uncertainty in decision, Decision support tool, Manufacturing location., Production Engineering, Human Work Science and Ergonomics, Produktionsteknik, arbetsvetenskap och ergonomi
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:hig:diva-31729OAI: oai:DiVA.org:hig-31729DiVA, id: diva2:1394180
Conference
9th International Conference on Operations and Supply Chain Management, Vietnam, 2019
Available from: 2020-02-18 Created: 2020-02-18 Last updated: 2020-03-06Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf