Enhancing supply chain resilience: a machine learning and XAI approach to commercial truck accident analysis

Key Points

• This research aims to analyze commercial truck accidents using machine learning and explainable AI to enhance supply chain resilience.
• Applied machine learning techniques on accident data
• Utilized XAI for interpreting model outputs
• Focused on commercial truck accident case studies
• Identified key factors contributing to accidents, improving safety awareness among drivers.
• Demonstrated a significant reduction in accident occurrence by implementing suggested interventions.
• Gained insights into predictive patterns for preventive measures in truck operations.

Abstract