Mapping Decision-Making Structures in Supply Chain Contexts: A Fuzzy DEMATEL Approach

Claudemir Leif Tramarico (), Aneirson Francisco Da Silva and José Eduardo Holler Branco
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Claudemir Leif Tramarico: Department of Chemical and Production Engineering, Lorena School of Engineering, University of São Paulo (USP), Lorena 12602-810, SP, Brazil
Aneirson Francisco Da Silva: Department of Production, Faculty of Engineering and Sciences, São Paulo State University (UNESP), Guaratinguetá, São Paulo 12516-410, SP, Brazil
José Eduardo Holler Branco: Department of Chemical and Production Engineering, Lorena School of Engineering, University of São Paulo (USP), Lorena 12602-810, SP, Brazil

Logistics, 2025, vol. 9, issue 2, 1-19

Abstract: Background: Effective decision-making in supply chain contexts requires understanding how criteria interact to shape rational and transparent decision structures. This study investigates how behavioral aspects influence the structuring of decision-making logic and the interdependencies between key criteria in supply chain contexts. Methods: Using Fuzzy DEMATEL, the research models the interactions between five core criteria —classification, definition, specification, decision, and action feedback—based on inputs from experienced professionals in a global chemical company. The approach enables mapping of causal influences while accounting for subjectivity and uncertainty in expert judgments. Results: The analysis identified specification, definition, and action feedback as causal criteria, with classification and decision being primarily influenced by them. The modeling process supported clearer prioritization and revealed how expert-based interactions can reduce decision biases. Conclusions: This study demonstrates how structuring decision-making logic through causal modeling enhances clarity and reduces subjectivity. The findings contribute to the development of decision support tools applicable across strategic supply chain contexts, offering practical implications for professionals seeking to improve decision transparency and effectiveness.

Keywords: behavioral; decision-making; Fuzzy DEMATEL; supply chain management (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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