Rethinking Pareto analysis: maintenance applications of logarithmic scatterplots

Knights, Peter

doi:10.1108/13552510110407041

Cited by 37 publications

(43 citation statements)

References 1 publication

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“… Pareto diagram is not generally useful for trend comparison (Knights, 2001); and  No relationships are shown between listed variables (Bamford and Greatbanks, 2005).…”

Section: Pareto Principlementioning

confidence: 99%

Critical success factors of supply chain management: a literature survey and Pareto analysis

Talib

Hamid

Thoo

2015

EuroMed Journal of Business

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Structured AbstractPurpose: The aim of this study is three-pronged. Firstly, to review the existing critical success factors (CSF) literature in the context of supply chain management (SCM). Secondly, to analyse the occurrence frequency of every possible CSF in SCM literature. Thirdly, to identify the 'vital few' and the 'useful many' CSF that are harmonized across the SCM field.Design/methodology/approach: A time-specific and term-sensitive literature review technique is undertaken to generate a list of possible CSF in SCM. The review yielded 55 papers, but only 26 empirical CSF papers were selected for analysis as the reliability and validity of the factors had been rigorously tested. Consequently, a Pareto analysis approach was applied to trace the CSF frequency of occurrence in SCM literature. By performing a Pareto analysis, this present study is able to id entify and categorize the 'vital few' and 'useful many' CSF that are consistent throughout various fields of SCM. The review and results are tabulated and a Pareto diagram has been constructed to provide a summary of findings.Findings: Out of the 26 selected empirical papers, 25 potent CSF in SCM literature have been extracted. From the Pareto analysis, 9 CSF represent 80.68 percentage of occurrence which is regarded as the 'vital few' CSF in SCM. The remaining 16 CSF represent 19.32 percentage of occurrence and is regarded as the 'useful many' CSF in SCM. The 9 'vital CSF' are immensely important, because in order to achieve supply chain and operation success, one must recognize the few vital factors that are responsible for the larger impact onto the industry compared to the other 16 'useful many' CSF. Practical implications:The study offers some sense of assistance to SCM managers in highlighting the vital few CSF that matter most, regardless of their nature of SCM fields. Thus, saving their energy, time, and resources in determining the critical pieces of information. For academicians, this study provides a platform for future SCM CSF research and the results could aid researchers in developing the research instrument.Originality/value: This study is the first attempt to apply Pareto analysis for SCM CSF studies and critically analyzing a wide range of SCM CSF literature. The result could allow supply chain managers to focus on the internal factors, as it could implicate the external factors, and is vital for sustainable supply chain operation, plus, it could stimulate potential researcher opportunities in linking SCM CSF and firm performance.

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“… Pareto diagram is not generally useful for trend comparison (Knights, 2001); and  No relationships are shown between listed variables (Bamford and Greatbanks, 2005).…”

Section: Pareto Principlementioning

confidence: 99%

Critical success factors of supply chain management: a literature survey and Pareto analysis

Talib

Hamid

Thoo

2015

EuroMed Journal of Business

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“…Mean time between failures (TBFs) can be modelled using the quantitative data of the system components. These parameters can be estimated from the historical maintenance data and have traditionally been used to evaluate the maintenance of LHD machines . Having accurate and precise failure data is necessary for reliable results .…”

Section: Reliability Concept and Analysismentioning

confidence: 99%

Reliability Analysis and Comparison Between Automatic and Manual Load Haul Dump Machines

Gustafson

Schunnesson

Kumar

2013

Qual. Reliab. Engng. Int.

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a Today's trend of replacing manually operated vehicles with automated ones will have an impact not only on machine design, working environment and procedures but also on machine breakdown and maintenance procedures. In the harsh environment of underground mines, the transition from manual to automatic operation is believed to fundamentally change the basis for break downs, maintenance and machine design. In this paper, differences and similarities between manual and automatic underground loading equipment is analysed from a reliability point of view. The analysis is based on a case study performed at a Swedish underground mine. In the contrary of common thoughts, this paper proves that there is a difference between the manual and semi-automatic machines and in particular for the transmission, in favour of the manual one. This paper also shows a path for detailed reliability analysis, and the results may be used for improving maintenance programmes for other types of mobile equipment.

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“…A simple yet important graphical method to visualise downtime is the jack-knife diagram (Knights, 2001). In this diagram, the failure data are presented as a log-log graph.…”

Section: Methodsmentioning

confidence: 99%

“…The graph shows log number of failures (vertical axis) and log repair time (horizontal axis). The curves of constant downtime appear as straight lines with a uniform and constant gradient (Knights, 2001). This study uses the jack-knife diagram with the downtime confidence interval to analyse the downtime of the components of the drilling machine.…”

Section: Methodsmentioning

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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Rethinking Pareto analysis: maintenance applications of logarithmic scatterplots

Cited by 37 publications

References 1 publication

Critical success factors of supply chain management: a literature survey and Pareto analysis

Critical success factors of supply chain management: a literature survey and Pareto analysis

Reliability Analysis and Comparison Between Automatic and Manual Load Haul Dump Machines

Downtime analysis of drilling machines and suggestions for improvements

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