Journal of Resource Management and Decision Engineering In Press 2026 06 01 Enhancing Supply Chain Resilience through Correlation-Aware Risk Prioritization: A Comparative and Statistical Analysis Approach Enhancing Supply Chain Resilience through Correlation-Aware Risk Prioritization: A Comparative and Statistical Analysis Approach 1 14 EN Journal Article 2025 08 04 <p>In today’s interconnected automotive supply chains, managing correlated risks is critical to prevent cascading disruptions. This study compares four prioritization methodologies—Risk Priority Number (RPN), Decision-Making Trial and Evaluation Laboratory (DEMATEL), Petri Net simulation, and a feedforward multilayer perceptron (MLP) neural network—applied to 36 expert-identified risks within vehicle component supply chains. Using severity, occurrence, and correlation-based influence data, the methods reveal contrasting prioritization patterns. While RPN assumes risk independence, DEMATEL and Petri Net capture causal propagation, and the MLP model identifies non-linear relationships among risks. Statistical tests (Friedman and post-hoc Wilcoxon) confirm significant differences, showing that correlation-aware approaches alter risk rankings by 15–25%. Applied to Saipa Press’s heavy stamping component supply chain under sanctions and regulatory constraints, the proposed framework improves resource allocation and highlights systemic vulnerabilities. The results advocate hybrid, correlation-integrated approaches for resilient supply chain decision-making in volatile environments.</p> https://journalrmde.com/index.php/jrmde/article/download/227/224