This paper presents a new mathematical formulation to address mine production scheduling with multiple processing streams, under mineral supply uncertainty, and where the destination is formulated as a variable for each block. The proposed mathematical model maximises discounted cash flows and penalises deviations from production targets. A parallel multi-neighbourhood Tabu search metaheuristic is developed to optimise the proposed model. An application at a gold deposit shows the practical aspects and computational efficiency of the model, as well as its ability to provide a schedule that meets production targets and provides a stable destination feed in term of tonnage.

本文提出了一种新的数学公式，以解决在矿物供应不确定的情况下具有多个处理流的矿山生产调度问题，并且将目的地公式化为每个块的变量。所提出的数学模型使折现现金流最大化，并惩罚了与生产目标的偏差。开发了并行的多邻域禁忌搜索元启发式算法，以优化所提出的模型。在金矿中的一项应用显示了该模型的实际情况和计算效率，以及其提供满足生产目标的进度表并按吨数提供稳定的目标进料的能力。