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.