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This paper addresses the challenges of short-term maintenance planning for autonomous trucks using a risk-based decision-making model aimed at minimizing economic risk. The proposed model considers both availability losses and maintenance costs, demonstrating a reduction in expected economic risk by up to 47% compared to baseline methods through numerical experiments. Sensitivity analyses reveal that improvements in estimation accuracy and workshop availability significantly decrease economic risk, highligh

Author

Brandon Lim

Language

EN