Abstract

This study introduces a novel method to optimize mining block destinations by integrating decision tree classification and cooperative game theory with Shapley values, focusing on comminution energy costs. Unlike traditional models that use fixed processing costs for ore blocks, this approach adjusts cutoff grades dynamically based on each block’s characteristics and variable comminution costs, influenced by factors like rock type. The methodology leads to increased processed material, reduced waste, and improved resource utilization, surpassing the Lane algorithm. It significantly enhances the Net Present Value (NPV) of mining operations by about 25%, boosting the viability and efficiency of low-grade deposits. © 2025 Informa UK Limited, trading as Taylor & Francis Group.