Abstract
On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. Afterward, a holistic supply chain layout and then a detailed value chain diagram are depicted to meticulously inspect the effect of technological advancements on FMSs and subsequently the profit margin. The proposed value-chain diagram is advantageous in explaining the economic justification of such intelligent systems, illustratively, for shareholders in the industry. Moreover, it will show new research directions for mining scholars.
| Original language | English |
|---|---|
| Pages (from-to) | 7-20 |
| Number of pages | 14 |
| Journal | Mining |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2024 |
Bibliographical note
Publisher Copyright:© 2023 by the authors.
Keywords
- fleet management system
- Mining 4.0
- profit margin
- surface mining
- value chain analysis
ASJC Scopus subject areas
- Earth and Planetary Sciences (miscellaneous)
- Geology
- Engineering (miscellaneous)
- Environmental Science (miscellaneous)