Multi-stage fuzzy-logic model for evaluation of reshoring decisions

Sequeira, MovinJönköping University,JTH, Industriell produktutveckling, produktion och design (författare)

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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.

Jönköping UniversityJTH, Industriell produktutveckling, produktion och design (creator_code:org_t)

Ingår i:Transdisciplinary Engineering for Resilience: Responding to System DisruptionsAmsterdam : IOS Press, s. 312-32197816436820829781643682099

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