Analysis of the mining equipment replacement time. A case study focused on drilling rig

Mining equipment is subjected to degradation throughout its operation lifetime, being the definition of the replacement time for mining equipment a vital question. Requiring accurate information about the performance of the equipment to identify the optimal replacement time. This study determines the replacement time using an improved method, Overall Mining Equipment Effectiveness (OMEE), that analyses the technical factors from mining equipment performance in real-time, such as the technical availability rate, the mechanical availability rate, the production rate and the productivity index. The suitability of the method has been tested using a real open pit mine and information gathered from six drilling rigs, which have been performing around 27,000 engine hours each, over the last twelve years. The results obtained show that the OMME methodology is reliable to analyze the mining equipment performance and determine the technical replacement time. • Determination of the replacement time of mining equipment with a new method. • Study based on data from drilling rigs collected over twelve years. • Determination of the mining equipment performance and the technical replacement time.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2024-10-10
DOI
https://doi.org/10.1016/j.rineng.2024.103057
Citations
6
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
1.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the mining equipment replacement time. A case study focused on drilling rig

Marc Bascompta, Ana María Castañón, Juan C. Gutiérrez-Diez
6 citations
Results in Engineering
Belt Conveyor Systems Engineering
1.28
article

Analysis of the mining equipment replacement time. A case study focused on drilling rig

Marc Bascompta, Ana María Castañón, Juan C. Gutiérrez-Diez
article en
6 citations

Abstract

Mining equipment is subjected to degradation throughout its operation lifetime, being the definition of the replacement time for mining equipment a vital question. Requiring accurate information about the performance of the equipment to identify the optimal replacement time. This study determines the replacement time using an improved method, Overall Mining Equipment Effectiveness (OMEE), that analyses the technical factors from mining equipment performance in real-time, such as the technical availability rate, the mechanical availability rate, the production rate and the productivity index. The suitability of the method has been tested using a real open pit mine and information gathered from six drilling rigs, which have been performing around 27,000 engine hours each, over the last twelve years. The results obtained show that the OMME methodology is reliable to analyze the mining equipment performance and determine the technical replacement time. • Determination of the replacement time of mining equipment with a new method. • Study based on data from drilling rigs collected over twelve years. • Determination of the mining equipment performance and the technical replacement time.

Results in EngineeringVol. 24
Universidad de León (ES), Universitat Politècnica de Catalunya (ES)
Universidad de León
Openalex Percentile: Top 23%
Belt Conveyor Systems Engineering
1.28
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.

Analysis of the mining equipment replacement time. A case study focused on drilling rig — Marc Bascompta, Ana María Castañón, et al. · Results in Engineering (2024) | TGRS Research Map | TGRS