Summary
This paper presents a framework and hybrid multicriteria decision-making model for identifying and prioritising risks in circular supply chains. By combining fuzzy Delphi-based AHP and ADAM methods, the authors establish a structured approach to risk evaluation that enables organisations to allocate resources strategically and focus on the most critical threats to circular supply chain resilience. The study's primary contribution is the identification of supply chain complexity, resource availability, and technological challenges as paramount risks, alongside the development of tools for standardised risk assessment.
UK applicability
The framework would be directly applicable to UK organisations implementing or managing circular supply chains, particularly in manufacturing and agri-food sectors. The standardised assessment approach could support UK policy initiatives on circular economy and waste reduction, though the abstract does not specify whether the model was tested in UK context.
Key measures
Risk prioritisation rankings using fuzzy Delphi-based analytical hierarchy process (AHP) and fuzzy axial distance-based aggregated measurement (ADAM) methods; criteria weights for risk evaluation
Outcomes reported
The study identified key risks threatening circular supply chains and developed a hybrid multicriteria decision-making model to prioritise and rank these risks for strategic management. Supply chain complexity, resource availability, and quality/technological challenges were identified as the most critical risks.
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