This paper explores the development and application of a simulation system for autonomous mining truck fleet dispatching in open-pit mines (AMTFD-OPM), constructed using the Simpy simulation framework. The system is capable of conducting simulation tests on the autonomous mining truck dispatching system while monitoring its performance during the testing process. This study establishes evaluation indicators for the autonomous mining truck dispatching system in open-pit mines, including total transportation volume, waiting time, fuel consumption, and truck operational equilibrium. This systematic evaluation approach not only assists mine managers in gaining a deeper understanding of the advantages and disadvantages of different dispatching strategies but also provides data support for subsequent algorithm optimization. To address the issue of operational imbalance exhibited by certain dispatching algorithms, this study proposes a truck scheduling optimization method based on multi-objective programming (MO), aimed at enhancing the balance of truck dispatching during transportation. To validate the effectiveness of this method, a comparative analysis is conducted against two traditional scheduling approaches: minimizing trucks waiting time (MTWT) and minimizing shovel production requirements (MSPR). The results demonstrate that the multi-objective programming scheduling method effectively balances efficiency and equity, offering new insights for mine transportation scheduling.