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Downtime analysis of drilling machines and suggestions for improvements
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Mechanical Engineering Department, College of Engineering, Mosul University, Mosul, Iraq.ORCID iD: 0000-0001-5620-5265
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7744-2155
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: 0000-0003-1377-8180
2014 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 20, no 4, p. 306-332Article in journal (Refereed) Published
Abstract [en]

Purpose– The purpose of this paper is to analyse and compare the downtime of four drilling machines used in two underground mines in Sweden. The downtime of these machines was compared to show what problems affect downtime and which strategies should be applied to reduce it.Design/methodology/approach– The study collects failure data from a two-year period for four drilling machines and performs reliability analysis. It also performs downtime analysis utilising a log-log diagram with a confidence interval.Findings– There are notable differences in the downtime of most of the studied components for all machines. The hoses and feeder have relatively high downtime. Depending on their downtime, the significant components can be ranked in three groups. The downtime of the studied components is due to reliability problems. The study suggests the need to improve the reliability of critical components to reduce the downtime of drilling machines.Originality/value– The method of analysing the downtime, identifying dominant factors and the interval estimation for the downtime, has never been studied on drilling machines. The research proposed in this paper provides a general method to link downtime analysis with potential component improvement. To increase the statistical accuracy; four case studies was performed in two different mines with completely different working environment and ore properties. Using the above method showed which components need to be improved and suggestions for improvement was proposed and will be implemented accordingly.

Place, publisher, year, edition, pages
2014. Vol. 20, no 4, p. 306-332
National Category
Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-16307DOI: 10.1108/JQME-11-2012-0038Scopus ID: 2-s2.0-84918796987Local ID: fef58794-bb42-486c-b91b-c626e6eda0d3OAI: oai:DiVA.org:ltu-16307DiVA, id: diva2:989283
Note

Validerad; 2014; 20141015 (hasham)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2023-10-14Bibliographically approved

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Al-Chalabi, Hussan S.Lundberg, JanWijaya, AndiGhodrati, Behzad

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