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Multi-stage fuzzy-logic model for evaluation of reshoring decisions
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- Sequeira, Movin (author)
- Jönköping University,JTH, Industriell produktutveckling, produktion och design
- (creator_code:org_t)
- Amsterdam : IOS Press, 2021
- 2021
- English.
- In: Transdisciplinary Engineering for Resilience: Responding to System Disruptions. - Amsterdam : IOS Press. - 9781643682082 - 9781643682099 ; , s. 312-321
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Reshoring decisions are complex due to multiple groups of criteria that have an impact on the decision involved. In order to support this manual decision-making process, more advanced tools need to be developed. The purpose of this paper is to explore a multi-stage fuzzy-logic model to support the reshoring decision-making process through a transdisciplinary approach. Three relevant stages pertaining to reshoring decisions were identified: production resources, production capabilities, and competitive priorities. For each stage, factor loading values were used to create fuzzy rules. The model provides a decision recommendation based on a set of input reshoring scenarios. The research contributes to the reshoring literature providing a multi-stage fuzzy-logic model that simultaneously handles different groups of criteria, and to practitioners by contemplating different key competencies within a company during the reshoring decision process.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Keyword
- Reshoring
- decision support
- fuzzy logic
- multi-stage
- transdisciplinary
Publication and Content Type
- ref (subject category)
- kon (subject category)
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