This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable (i.e. high-grade) and undesirable (i.e. low-grade or uneconomic) materials and ensure the delivery of only selected quantity of high quality (or high-grade) material to energy, water, and cost-intensive processing plant. The model maximizes the net present value under a range of operational and processing constraints. Given that the proposed model is computationally complex, the authors employ a data pre-processing procedure and then evaluate the performance of the model at several practical instances using computation time, optimality gap, and the net present value as valid measures. In addition, a comparison of the proposed and traditional (without Grade Engineering) models reflects that the proposed model outperforms the traditional formulation.

本文介绍了一种基于混合整数规划的创新数学模型的开发和实施，用于具有等级工程框架的露天采矿作业。等级工程包括一系列基于粗分离的预处理技术，这些技术将所需（即高品位）和不想要（即低品位或不经济）的材料分开，并确保仅提供选定数量的高质量（或高品位）材料。级）材料到能源、水和成本密集型加工厂。该模型在一系列操作和处理约束下最大化净现值。鉴于所提出的模型计算复杂，作者采用数据预处理程序，然后使用计算时间、最优性差距、和净现值作为有效措施。此外，所提出的模型和传统（无等级工程）模型的比较反映了所提出的模型优于传统公式。