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INTEGRATING LEAN PRINCIPLES AND ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND WASTE REDUCTION IN OPEN-CAST AND UNDERGROUND MINING OPERATIONS

dc.contributor.advisorMátrai, Norbert Zoltán
dc.contributor.authorOBEIRO ODUOR, COLLINS
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2026-06-09T08:26:02Z
dc.date.available2026-06-09T08:26:02Z
dc.date.created2026-05-15
dc.description.abstractThis study explores how the integration of Lean principles and Artificial Intelligence (AI) can improve efficiency and reduce waste in both open-cast and underground mining operations. Lean methodologies focus on eliminating non-value-adding activities, while AI technologies enhance decision-making through predictive analytics, automation, and real-time monitoring. By combining these approaches, mining companies can optimize resource utilization, reduce operational costs, improve productivity, and enhance safety performance. The research highlights the potential of Lean-AI integration to support sustainable and smarter mining practices in the modern mining industry.
dc.description.courseEngineering Management
dc.description.degreeMSc/MA
dc.format.extent66 pages
dc.identifier.urihttps://hdl.handle.net/2437/408103
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectLean
dc.subjectAI
dc.subject.dspaceEngineering Sciences
dc.titleINTEGRATING LEAN PRINCIPLES AND ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND WASTE REDUCTION IN OPEN-CAST AND UNDERGROUND MINING OPERATIONS

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