Measuring and improving operator performance on large mining equipment

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Özet

Mining as an industry is in the middle of commodity price upheaval that is wiping out many mining firms. Only the companies that have adapted right technology and data driven decision making culture will survive after each commodity price cycle. Latest technological solutions made it possible to track materials and equipment in every step of mining; from the face to plant to facilitate decision making process. Mines are investing in equipment monitoring technology with the expectation of gaining large increases in equipment productivity and reliability. Simply buying the technology does not result in achieving the promised benefits. Only a holistic approach can achieve these benefits, considering the people (analytical skills and culture), the process (deliberate means of using the data), and the platform (analytical technology). One of the principle methods for achieving this advantage is through increasing productivity and equipment health of major production equipment. This paper presents a case study using equipment monitoring technology as part of an operator performance system for a major machine asset: a dragline.

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dc.contributor.authorKahraman, M.M.
dc.contributor.editorBenzer, H.
dc.contributor.editorAydogan, N.
dc.contributor.editorKaradeniz, M.
dc.contributor.editorAltun, O.
dc.contributor.editorDundar, H.
dc.contributor.editorGulsun Kilic, M.
dc.contributor.editorKundak, E.
dc.contributor.editorYilmazkaya, E.
dc.contributor.editorKertmen, P.
dc.date.accessioned2026-10-22T10:23:32.382056081Z
dc.date.available2026-10-22T10:23:32.382056081Z
dc.date.issued2019
dc.description.abstractMining as an industry is in the middle of commodity price upheaval that is wiping out many mining firms. Only the companies that have adapted right technology and data driven decision making culture will survive after each commodity price cycle. Latest technological solutions made it possible to track materials and equipment in every step of mining; from the face to plant to facilitate decision making process. Mines are investing in equipment monitoring technology with the expectation of gaining large increases in equipment productivity and reliability. Simply buying the technology does not result in achieving the promised benefits. Only a holistic approach can achieve these benefits, considering the people (analytical skills and culture), the process (deliberate means of using the data), and the platform (analytical technology). One of the principle methods for achieving this advantage is through increasing productivity and equipment health of major production equipment. This paper presents a case study using equipment monitoring technology as part of an operator performance system for a major machine asset: a dragline.
dc.identifier.endpage1624
dc.identifier.isbn978-605011273-3
dc.identifier.scopus2-s2.0-85074216420
dc.identifier.startpage1617
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/15064
dc.language.isoen
dc.publisherBaski
dc.relation.conference26th International Mining Congress and Exhibition of Turkey, IMCET 2019
dc.relation.ispartofIMCET 2019 - Proceedings of the 26th International Mining Congress and Exhibition of Turkey
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectContinuous improvement
dc.subjectDragline
dc.subjectOperator
dc.subjectPerformance measurement
dc.subject.otherBehavioral research
dc.subject.otherDecision making
dc.subject.otherProductivity
dc.subject.otherAnalytical technology
dc.subject.otherContinuous improvements
dc.subject.otherDecision making process
dc.subject.otherDragline
dc.subject.otherOperator
dc.subject.otherPerformance measurements
dc.subject.otherProduction equipments
dc.subject.otherTechnological solution
dc.subject.otherMining equipment
dc.titleMeasuring and improving operator performance on large mining equipment
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus1
rdl.conference.date16 April 2019 through 19 April 2019
rdl.conference.placeAntalya
rdl.oa.statusclosed
rdl.source.indexSCOPUS