Assessing the performance in automated loading and unloading of autonomous trucks and the implications for the logistics system

Paper i proceeding, 2024

The logistics industry is changing due to the introduction of autonomous trucks (ATs). Although there are many promising benefits associated with ATs, there is a limited exploration into automating the loading and unloading (L/UL) process that was performed manually. However, for autonomous transport to be fully realized, the L/UL processes at shipping and receiving facilities must also be automated. Despite automation being a solution to address the challenges, the broader impacts of automating L/UL are not well explored. This study assesses the effects of automating L/UL with AT on a broader system level using context-intervention-mechanism-outcome logic (CIMO).