THE FUTURE OF AUTOMATION IN THE MINING INDUSTRY: HOW MACHINES AND ARTIFICIAL INTELLIGENCE ARE REPLACING MANUAL PROCESSING

Abstract

Background: The mining industry is experiencing a transformative shift toward automation and artificial intelligence (AI) to enhance safety, productivity, and operational efficiency. This transition is pivotal as it addresses both economic and environmental challenges faced by the sector.
Methods: This systematic literature review analyzes 67 sources to examine automation technologies, their impacts, and implementation challenges. The review synthesizes findings from diverse geographical and operational contexts to provide a holistic view of the current state of mining automation.
Results: Findings indicate that autonomous haulage systems can improve productivity by 15-30% and reduce accidents by 40-60%. However, challenges such as high capital costs ($50-200 million) and workforce displacement (30-50% reduction) persist, necessitating strategic interventions.
Conclusions: Successful implementation of automation in mining requires strategic planning, phased deployment, and comprehensive workforce development programs. The study concludes that automation is not merely an option but an inevitable evolution for the future of mining, driven by safety imperatives, economic pressures, and labor shortages.