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1.	Sequeira, Movin (author) Multi-stage fuzzy-logic model for evaluation of reshoring decisions 2021 In: Transdisciplinary Engineering for Resilience: Responding to System Disruptions. - Amsterdam : IOS Press. - 9781643682082 - 9781643682099 ; , s. 312-321 Conference paper (peer-reviewed)abstract 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.

Sequeira, Movin (author)
Multi-stage fuzzy-logic model for evaluation of reshoring decisions
2021
In: Transdisciplinary Engineering for Resilience: Responding to System Disruptions. - Amsterdam : IOS Press. - 9781643682082 - 9781643682099 ; , s. 312-321
Conference paper (peer-reviewed)abstract
- 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.

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