Szczegóły publikacji
Opis bibliograficzny
Quantification of the economic efficiency of innovative technologies in the mining industry using Monte Carlo simulations / Maksym Mykhei, Damiána Šaffová, Barbara KOWAL, Lucia Domaracká, Nikola Kottferová, Claudia Dohaničová, Ivana Tkáčová // Acta Montanistica Slovaca ; ISSN 1335-1788 . — 2026 — vol. 31 iss. 1, s. 236–248. — Bibliogr. s. 247–248, Abstr.
Autorzy (7)
- Mykhei Maksym
- Šaffová Damiána
- AGHKowal Barbara
- Domaracká Lucia
- Kottferová Nikola
- Dohaničová Claudia
- Tkáčová Ivana
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 168672 |
|---|---|
| Data dodania do BaDAP | 2026-07-31 |
| Tekst źródłowy | URL |
| DOI | 10.46544/AMS.v31i1.18 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Acta Montanistica Slovaca |
Abstract
The study analyses the economic efficiency of innovative technologies in the mining industry. Using an extensive modelling of Monte Carlo simulations, including 150 random scenarios, we quantify the impact of the implementation of autonomous drilling systems (AI), drone fleet using LiDAR technology and software, and IoT-based predictive maintenance using a digital twin on key performance indicators, such as the return on investment (ROI), internal rate of return (IRR), and net present value. The results show a direct correlation between reduced downtime and improved economic indicators, with a significant impact on energy consumption and CO2 emissions. A representative scenario confirmed the synergistic effects of innovations on economic efficiency and environmental sustainability. The study highlights the importance of innovative technologies for modernising the mining industry and provides a tool for strategic investment decisions.
