The study presents a decision-making model for sustainable and circular manufacturing using the Analytic Hierarchy Process (AHP) and regression analysis. Key sustainability criteria, such as Circular Product Design, Eco-Friendly Materials, and Digital Integration, were prioritized through AHP. The model identifies Digital Integration and Closed-Loop Supply Chain practices as strong sustainability predictors. IoT-based real-time monitoring ensures adaptive decision-making in waste management, environmental conditions, and production. The model integrates blockchain for transparency and traceability, aligning with EU sustainability targets and offering actionable insights for manufacturers.
Strategic Proposal for Sustainable and Circular Manufacturing: Planning and Implementation Actions (PLA.I.A.)
Rehman, MiznaWriting – Original Draft Preparation
;Petrillo, AntonellaProject Administration
;de Felice, FabioProject Administration
;Forcina, AntonioSupervision
;Zahid, ArslanMembro del Collaboration Group
2025-01-01
Abstract
The study presents a decision-making model for sustainable and circular manufacturing using the Analytic Hierarchy Process (AHP) and regression analysis. Key sustainability criteria, such as Circular Product Design, Eco-Friendly Materials, and Digital Integration, were prioritized through AHP. The model identifies Digital Integration and Closed-Loop Supply Chain practices as strong sustainability predictors. IoT-based real-time monitoring ensures adaptive decision-making in waste management, environmental conditions, and production. The model integrates blockchain for transparency and traceability, aligning with EU sustainability targets and offering actionable insights for manufacturers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
