Downtime analysis of a scaling machine

Wijaya, Andi Rahadiyan; Lundberg, Jan; Kumar, Uday

doi:10.1080/17480930.2011.603515

Cited by 9 publications

(9 citation statements)

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“…The estimation points are the mean, lower limit and upper limit of the downtime. The value of these points can be estimated from the following equations (Wijaya et al, 2012):…”

Section: Methodsmentioning

confidence: 99%

“…The long tail to the right of lognormal distribution provides the best fitting representation of the repair situation. Most repairs are accomplished in a small period of time, but in certain cases, repairs can take a much longer time (Wijaya et al, 2012). The Weibull distribution has a probability density function given by:…”

Section: Reliability and Downtime Analysismentioning

confidence: 99%

“…In this study, the exact method (Masters et al, 1992) is implemented to estimate the confidence interval of m x /m y (for more clarification of the method to estimate the interval of the downtime, see Wijaya et al, 2012). All tests are conducted using the Minitab, Matlab and Easy Fit software; the significance level a used in all tests is 0.05.…”

Section: Reliability and Downtime Analysismentioning

confidence: 99%

“…They were interested in the influence of machine downtime on productivity and operation costs and used a reliability-based approach and a basic maintenance approach to determine the machine's availability. Wijaya et al (2012) developed a method for visualising downtime by using a jack-knife diagram; they applied the method on a scaling machine at a mine in Sweden. Gustafson et al (2013) used a fault tree analysis to analyse the idle times of automated LHD machines at a Swedish underground mine.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A jack-knife diagram has one shortcoming; it presents downtime as a single value (point estimated), and because of involved uncertainties it has been considered insufficient (Altman et al, 2000;Curran-Everett and Benos, 2004;Wijaya et al, 2012). System designers and users have a tendency to be risk-averse regarding downtime.…”

Section: Introductionmentioning

confidence: 99%

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Downtime analysis of drilling machines and suggestions for improvements

Al-Chalabi

Lundberg

Wijaya

et al. 2014

Journal of Quality in Maintenance Engineering

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. 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 loglog 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.

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“…The estimation points are the mean, lower limit and upper limit of the downtime. The value of these points can be estimated from the following equations (Wijaya et al, 2012):…”

Section: Methodsmentioning

confidence: 99%

Section: Reliability and Downtime Analysismentioning

confidence: 99%