INTEGRATING LEAN PRINCIPLES AND ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND WASTE REDUCTION IN OPEN-CAST AND UNDERGROUND MINING OPERATIONS
| dc.contributor.advisor | Mátrai, Norbert Zoltán | |
| dc.contributor.author | OBEIRO ODUOR, COLLINS | |
| dc.contributor.department | DE--Műszaki Kar | |
| dc.date.accessioned | 2026-06-09T08:26:02Z | |
| dc.date.available | 2026-06-09T08:26:02Z | |
| dc.date.created | 2026-05-15 | |
| dc.description.abstract | This 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.course | Engineering Management | |
| dc.description.degree | MSc/MA | |
| dc.format.extent | 66 pages | |
| dc.identifier.uri | https://hdl.handle.net/2437/408103 | |
| dc.language.iso | en | |
| dc.rights.info | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | Lean | |
| dc.subject | AI | |
| dc.subject.dspace | Engineering Sciences | |
| dc.title | INTEGRATING LEAN PRINCIPLES AND ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND WASTE REDUCTION IN OPEN-CAST AND UNDERGROUND MINING OPERATIONS |
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