  While the increased automation levels of production and operation equipment
have led to improved productivity of mining activity in open pit mines, the
capacity of mine transport system become a bottleneck. The optimization of mine
transport system is of great practical significance to reduce the production
and operation cost and improve the production and organizational efficiency of
mines. In this paper we first formulate a multi-objective optimisation problem
for mine railway scheduling by introducing a set of mathematical constraints.
As the problem is NP-hard, we then devise a Mixed Integer Programming based
solution to solve this problem, and develop an online framework accordingly. We
finally conduct test cases to evaluate the performance of the proposed
solution. Experimental results demonstrate that the proposed solution is
efficient and able to generate train schedule in a real-time manner.
