Simulation-Driven Mining Logistics Towards Sustainable and Reliable Production

It is essential that the extracted raw material, after mining, is transported to its processing facility. In mining companies, this transfer is managed by a logistics system. However, it is crucial to first adopt the Mining 4.0 concept and subsequently begin implementing new technological trends. This study thoroughly analyzes and evaluates the transportation system of a specific mining operation. The application of modeling and simulation introduces several benefits to this process. Developing a comprehensive model from pre-verified components is the most effective way to represent the system reliably. The objective is to achieve and verify the potential for a monthly output of 10,000 tons of raw material. Experimentation with the model produced a significant amount of data, indicating that the transportation system may achieve the production target. With proper maintenance and precise alternation of processes, as determined by the modeled experiments, the system could be even more effective. The simulation outputs also identified the productivity of other processes within the logistics system. The experiments focused on both improving the system and ensuring its sustainability for the future. The company must ensure and strengthen its system, particularly in terms of its components and management, as this will have the greatest impact on system safety, longevity, and reliability.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-11-03
DOI
https://doi.org/10.3390/app152111722
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation-Driven Mining Logistics Towards Sustainable and Reliable Production

Marek Ondov, Andrea Rosová, Marian Šofranko
Applied Sciences
Mining Techniques and Economics
article

Simulation-Driven Mining Logistics Towards Sustainable and Reliable Production

Marek Ondov, Andrea Rosová, Marian Šofranko
article en

Abstract

It is essential that the extracted raw material, after mining, is transported to its processing facility. In mining companies, this transfer is managed by a logistics system. However, it is crucial to first adopt the Mining 4.0 concept and subsequently begin implementing new technological trends. This study thoroughly analyzes and evaluates the transportation system of a specific mining operation. The application of modeling and simulation introduces several benefits to this process. Developing a comprehensive model from pre-verified components is the most effective way to represent the system reliably. The objective is to achieve and verify the potential for a monthly output of 10,000 tons of raw material. Experimentation with the model produced a significant amount of data, indicating that the transportation system may achieve the production target. With proper maintenance and precise alternation of processes, as determined by the modeled experiments, the system could be even more effective. The simulation outputs also identified the productivity of other processes within the logistics system. The experiments focused on both improving the system and ensuring its sustainability for the future. The company must ensure and strengthen its system, particularly in terms of its components and management, as this will have the greatest impact on system safety, longevity, and reliability.

Applied SciencesVol. 15(21)
Technical University of Košice (SK)
Openalex Percentile: Top 59%
Mining Techniques and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation-Driven Mining Logistics Towards Sustainable and Reliable Production — Marek Ondov, Andrea Rosová, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS