Supplier Risk Mitigation and Resilience Framework Incorporating Data Analytics, Multi-Sourcing, and Proactive Vendor Development Strategies

Abstract

In increasingly globalized and interconnected supply chains, supplier disruptions pose significant risks to operational continuity, cost efficiency, and market competitiveness. This study presents a comprehensive framework for mitigating supplier-related risks and enhancing supply chain resilience by integrating advanced data analytics, multi-sourcing strategies, and proactive vendor development initiatives. The proposed model emphasizes predictive risk assessment using real-time supplier performance metrics, the diversification of sourcing options to reduce dependency, and targeted capability-building programs to strengthen strategic vendor partnerships. By employing a hybrid methodology that combines quantitative data-driven analysis with qualitative assessments of supplier competencies, the framework offers actionable insights for decision-makers in manufacturing and retail sectors. Case simulations demonstrate that organizations adopting this integrated approach experience improved supplier reliability, reduced exposure to operational disruptions, and enhanced long-term value creation. The findings provide a structured pathway for firms to develop resilient, agile, and adaptive supply networks that balance risk mitigation with strategic supplier collaboration.