Multi-Stage Fuzzy-Logic Model for Evaluation of Reshoring Decisions

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.

Reducing the “Fog of Uncertainty” Surrounding Humanitarian Aid and Disaster Response Operations

“…RDM also provides decision-makers with an abundant amount of information, allowing them to choose between those pre-identified strategies. Instead of predicting what the future will look like, which is reasonably difficult in disastrous events that occur suddenly (such as earthquakes or landslides), RDM is able to iterate through short-term policies that are often aligned with long-term goals and identify those strategies that can produce satisfactory outcomes in a wide range of future conditions [9].…”