ScruMine: Optimizing mineral extraction with agile methodologies and LLM

Abstract

The mining industry, which is fundamental to the global economy due to its extraction of natural resources and supply of essential raw materials for various industries, faces ongoing challenges in terms of efficiency, productivity, and sustainability. Although significant technological advancements have been implemented, including automation, artificial intelligence, and machine learning, integrating agile methodologies in mining extraction processes still needs to be explored. This article presents an approach that combines SCRUM methodology with advanced artificial intelligence technology to optimize material extraction management in mining operations. We propose a model where each element of the extraction process becomes part of the SCRUM team, with a Large Language Model (LLM) acting as the SCRUM Master and a Mining Operations Engineer as the Product Owner. We detail the team structure, adapted SCRUM processes, necessary technological implementation, and daily workflow.