Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Analysis of shovel fleet utilization in Sarcheshmeh Copper Mine using a smart monitoring platform
Department of Mining Engineering, Isfahan University of Technology, 84156 83111, Isfahan, Iran.
Department of Mining Engineering, Isfahan University of Technology, 84156 83111, Isfahan, Iran.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0003-1377-8180
Department of Mining Engineering, Isfahan University of Technology, 84156 83111, Isfahan, Iran.ORCID-id: 0000-0002-7460-7900
2024 (Engelska)Ingår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348Artikel i tidskrift (Refereegranskat) Epub ahead of print
Abstract [en]

Utilization of the shovel fleet as a capital-intensive and operationally important asset in open-pit mines is a key indicator for mine production analysis. This paper investigates shovel utilization in surface mining using a novel smart platform integrated with the shovel operating joystick. It utilizes a unique algorithm to identify and differentiate operational and non-operational time based on comparing real-time data and average loading cycle time. This data is then employed to calculate overall uptime and identify downtime periods. A field study was carried out on six electric cable shovels consisting of P&H 2100 and TZ WK-12, at Sarcheshmeh Copper Mine. The analysis revealed that the average utilization of the whole fleet is equal to 33%, ranging from 16 to 48%, which is dramatically lower than the mine expectations. The statistical analysis showed that in 10–13% of the operating time, the utilization is higher than 75%, which is a moderately acceptable level. Finally, according to the outcomes of the field study and the developed smart platform, it could be concluded that improvements in dispatching system accuracy, revising the grade blending strategies, increasing processing plant flexibility and improved operator training could enhance shovel fleet utilization and whole mine productivity.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2024.
Nyckelord [en]
Cable shovel, Delay time, Machinery, Open pit mine, Operational time
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-108218DOI: 10.1007/s13198-024-02396-7ISI: 001251052000001Scopus ID: 2-s2.0-85196425366OAI: oai:DiVA.org:ltu-108218DiVA, id: diva2:1880219
Tillgänglig från: 2024-07-01 Skapad: 2024-07-01 Senast uppdaterad: 2024-07-01

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Ghodrati, Behzad

Sök vidare i DiVA

Av författaren/redaktören
Ghodrati, BehzadHoseinie, Seyed Hadi
Av organisationen
Drift, underhåll och akustik
I samma tidskrift
International Journal of Systems Assurance Engineering and Management
Annan samhällsbyggnadsteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 82 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf