Downtime analysis of drilling machines and suggestions for improvements

Author:

S. Al-Chalabi Hussan,Lundberg Jan,Wijaya Andi,Ghodrati Behzad

Abstract

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.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Safety, Risk, Reliability and Quality

Reference27 articles.

1. Abernethy, R. (2000), The New Weibull Handbook, Gulf Publishing Co., Houston, TX.

2. Altman, D.G. , Machin, D. , Bryant, T.N. , Gardner, M.J. , Gardner, S. , Bird, S. , Campbell, M. , Daly, L.E. and Morris, J. (2000), Statistics with Confidence: Confidence Intervals and Statistical Guidelines, BMJ Books, London.

3. Ansell, J. and Phillips, M.J. (1994), Practical Methods for Reliability Data Analysis, Oxford University Press Inc., New York, NY.

4. Ascher, H. and Feingold, H. (1984), Repairable System Reliability, 7th ed., Dekker, New York, NY.

5. Barabady, J. and Kumar, U. (2008), “Reliability analysis of mining equipment: a case study of a crushing plant at Jajarm Bauxite mine in Iran”, Reliability Engineering System Safety, Vol. 93 No. 4, pp. 647-653.

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