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Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty

Sequeira, Movin (author)
Jönköping University,JTH, Logistik och verksamhetsledning
Hilletofth, Per (author)
Jönköping University,JTH, Logistik och verksamhetsledning,Högskolan i Jönköping
 (creator_code:org_t)
OSCM, 2019
2019
English.
In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019. - OSCM.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

Keyword

Reshoring decision making
FAHP
Uncertainty in decision
Decision support tool
Manufacturing location.
Production Engineering
Human Work Science and Ergonomics
Produktionsteknik
arbetsvetenskap och ergonomi

Publication and Content Type

ref (subject category)
kon (subject category)

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By the author/editor
Sequeira, Movin
Hilletofth, Per
About the subject
SOCIAL SCIENCES
SOCIAL SCIENCES
and Economics and Bu ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Mechanical Engin ...
and Production Engin ...
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By the university
University of Gävle
Jönköping University

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