Minimizing Cost of Intra-Yard Finished Vehicle Logistics Through Automation and Optimization

Abstract

This thesis analyzes and validates autonomous Finished Vehicle Logistics (FVLa) operations, at the plant of an automative Original Equipment Manufacturer (OEM), through the development of a Vehicle-Plug-In (VPI) system with Level 4 autonomous driving capabilities. The research combines process flow analysis with FlexSim simulation modeling to optimize operational parameters and assess safety performance. Results demonstrate FVLa operational feasibility with a recommended VPI inventory of 750 units and 6-hour replenishment cycle. The study's key contributions include a validated operational model using Economic Order Quantity calculations and a safety framework utilizing Bayesian Networks, establishing foundations for the planned 2028 implementation while maintaining required throughput rates and safety standards.