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Maintenance indicators for underground mining equipment: a case study of automatically versus manually operated LHD machines
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-5347-0853
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2011 (English)In: Proceedings of the 24th International Congress on Condition Monitoring and Diagnosis Engineering Management: COMADEM 2011 / [ed] Maneesh Singh; Raj B.K.N. Rao; J.P. Liyanage, Stavanger: COMADEM International, 2011, p. 1205-1214Conference paper, Published paper (Refereed)
Abstract [en]

Key Performance Indicators (KPIs) are performance measures directly related to the overall goals of the company and some of them depend on the maintenance function. In mining companies top managers use the maintenance cost per unit versus budget as one of the KPIs. However many other technical, organizational and economical parameters in a company can be helpful during the decision making process.In this paper the productivity of Load-Haul-Dump machines (LHDs), that is obtained when manual and/or automatic mode are used, are being analysed. The correlation between the productivity and the maintenance KPIs as well as the issues related to the acquisition of data will be shown in this paper highlighting the complexity of getting accurate decision process parameters. It is recognized that the data for some of the components and failure modes originating from different sources are not compatible. This situation must be considered when compiling the data, especially to permit comparison the data should be made compatible. The problem of incompatibility is most severe when dealing with demand related failures. The philosophy and mechanisms of demand related failures as well as the methods used to denote the time and demand related failures in common form have to be taken into account.

Place, publisher, year, edition, pages
Stavanger: COMADEM International, 2011. p. 1205-1214
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-39155Local ID: dcabb4da-9a38-4d70-b586-53587982cc03ISBN: 954130723 (print)OAI: oai:DiVA.org:ltu-39155DiVA, id: diva2:1012664
Conference
International Congress on Condition Monitoring and Diagnostic Engineering Management : 30/05/2011 - 01/06/2011
Note
Godkänd; 2011; 20110526 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-04-16Bibliographically approved

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Gustafson, AnnaSchunnesson, HåkanGalar, Diego

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