Modern supply chains, increasingly complex and interconnected, demand advanced risk management. This study proposes an integrated FRAM-AHP approach: Functional Resonance Analysis Method (FRAM) analyses systemic interactions that generate operational variability, while Analytical Hierarchy Process (AHP) enables risk prioritisation through multicriteria evaluation. The combination provides a holistic and structured perspective, enhancing the resilience and sustainability of supply chains in uncertain and highly variable global contexts.

An AI Implementation for Risk Analysis in Supply Chains 4.0: A Multicriteria Model for Sustainability and Resilience

Barilla D.
Primo
Conceptualization
;
Ricca B.
Secondo
Formal Analysis
;
Morabito M.
Penultimo
Methodology
;
2025-01-01

Abstract

Modern supply chains, increasingly complex and interconnected, demand advanced risk management. This study proposes an integrated FRAM-AHP approach: Functional Resonance Analysis Method (FRAM) analyses systemic interactions that generate operational variability, while Analytical Hierarchy Process (AHP) enables risk prioritisation through multicriteria evaluation. The combination provides a holistic and structured perspective, enhancing the resilience and sustainability of supply chains in uncertain and highly variable global contexts.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3343613
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