BEYOND TRADITIONAL METRICS: A HYBRID MODEL FOR SUPPLIER PERFORMANCE EVALUATION USING ABC, QFD, SWOT, AND BENCHMARKING

This research develops an innovative hybrid model for supplier evaluation that systematically integrates Activity-Based Costing (ABC), Quality Function Deployment (QFD), SWOT analysis, and benchmarking to overcome the limitations of traditional assessment methods. The proposed framework addresses contemporary supply chain challenges by simultaneously evaluating four critical dimensions: cost efficiency through ABC, quality alignment via QFD, strategic risks using SWOT, and competitive positioning through benchmarking. A structured three-phase implementation process enables organizations to combine quantitative precision with qualitative insights, supported by dynamic weight adjustments that respond to market volatility. The automotive industry case study demonstrates the model's practical value, showing considerable improvements in cost and quality performance alongside faster risk identification compared to conventional approaches. While the comprehensive methodology requires robust data infrastructure and cross-functional coordination, it offers superior decision-making capabilities by balancing short-term operational needs with long-term strategic supplier relationships. The study contributes to supply chain management literature by presenting a scalable evaluation system that adapts to complex, globalized procurement environments. Future research directions include exploring AI-enhanced automation, industry-specific adaptations, and longitudinal performance studies to further validate the framework's impact on supply chain resilience and competitiveness.