Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analysis of major operational KPIs and overall benchmarking for shovel–truck fleets in open-pit mines
Smart Mining Research Center, Isfahan University of Technology, 84156 83111, Isfahan, Iran.
Smart Mining Research Center, Isfahan University of Technology, 84156 83111, Isfahan, Iran; Department of Mining Engineering, Isfahan University of Technology, 84156 83111, Isfahan, Iran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-1377-8180
2026 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348Article in journal (Refereed) Epub ahead of print
Abstract [en]

This study evaluates shovel and dump truck performance using three key indicators: average utilization (61–65%), availability (77–78%), and OEE (41–44%). Actual performance often lags behind ideal global benchmarks due to site-specific operational conditions. The results offer practical reference values for these KPIs, enabling mining operations to benchmark their fleet performance against industry data. While universal standards are challenging to establish, these findings support more informed equipment management decisions. Ultimately, they help optimize fleet utilization, enhance operational efficiency, and promote sustainable mining practices by providing a foundation for continuous improvement and comparative analysis across diverse mining environments.

Place, publisher, year, edition, pages
Springer , 2026.
Keywords [en]
Shovel–dump truck, Availability, Open-pit mining, Overall equipment effectiveness (OEE), Key performance indicators (KPIs)
National Category
Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-117748DOI: 10.1007/s13198-026-03339-0ISI: 001771870900001Scopus ID: 2-s2.0-105039813472OAI: oai:DiVA.org:ltu-117748DiVA, id: diva2:2064357
Available from: 2026-06-01 Created: 2026-06-01 Last updated: 2026-06-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ghodrati, Behzad

Search in DiVA

By author/editor
Ghodrati, Behzad
By organisation
Operation, Maintenance and Acoustics
In the same journal
International Journal of Systems Assurance Engineering and Management
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf