An Open-Source Optimization Model For Open-Pit Mine Production Scheduling

This repository contains the dataset, code, and outputs for the study “A Scalable Open-Source Optimization Framework for Sustainable Open-Pit Mine Production Scheduling.” The Python-based model, implemented with PuLP and the CBC solver, applies the efficient “by” formulation and integrates economic, geotechnical, and environmental constraints. The dataset includes a structured block model (block IDs, coordinates, grade, tonnage, costs, recovery, and environmental penalties), standardized with a gold price of USD 3,685.78/oz. Outputs provided are Scheduled blocks per period with NPV contributions Period KPIs (tonnage, processed ore, value) Sensitivity analysis results Figures on tonnage, value distribution, and 3D block visualization This open-source framework demonstrates a transparent, reproducible approach to intelligent and sustainable mine planning.本代码仓库包含题为《可扩展开源优化框架用于可持续露天矿山生产调度》的研究配套数据集、代码与输出成果。该基于Python开发的模型采用PuLP与CBC求解器实现，运用高效的逐块建模范式，并整合了经济、岩土工程与环境约束条件。 数据集包含结构化区块模型，涵盖区块ID、坐标、品位、吨位、成本、回收率及环境惩罚成本，其标准化基准金价设定为3685.78美元/盎司。 本次提供的输出成果包括： 各时段调度区块及其净现值（Net Present Value，NPV）贡献 时段关键绩效指标（KPI）：吨位、处理矿石量与产值 敏感性分析结果 吨位、产值分布及三维区块可视化图表 本开源框架为智能可持续矿山规划提供了一种透明、可复现的实现路径。