  Mine fleet management algorithms can significantly reduce operational costs
and enhance productivity in mining systems. Most current fleet management
algorithms are evaluated based on self-implemented or proprietary simulation
environments, posing challenges for replication and comparison. This paper
models the simulation environment for mine fleet management from a complex
systems perspective. Building upon previous work, we introduce probabilistic,
user-defined events for random event simulation and implement various
evaluation metrics and baselines, effectively reflecting the robustness of
fleet management algorithms against unforeseen incidents. We present
``OpenMines'', an open-source framework encompassing the entire process of mine
system modeling, algorithm development, and evaluation, facilitating future
algorithm comparison and replication in the field. Code is available in
https://github.com/370025263/openmines.
