Investigation of maintenance performance for a gasification process unit using Weibull analysis
Journal of Quality in Maintenance Engineering
ISSN: 1355-2511
Article publication date: 8 August 2016
Abstract
Purpose
The purpose of this paper is to investigate maintenance performance of a gasification process unit by identifying reliability, failure and hazard rate. The prediction on the number of preventive maintenance (PM) activities and size of labour are being analysed.
Design/methodology/approach
The study collects maintenance data for 4,000 hours operation to perform Weibull analysis in order to determine two key factors which are beta shape factor, β and characteristic life, η.
Findings
The results for estimation of failure, reliability and hazard rate show that the pump was most likely contributed to the biggest failure. On the other hand, reaction chamber was able to maintain the longest operation among other components. It is estimated that the total PM activities should be within 20-50 activities per month for whole processing plant. Meanwhile, the estimation of size of labour should be within the range of 60-130 numbers of workers per month for all components.
Originality/value
The method of Weibull analysis for investigating current maintenance performance has been analysed using real case study data. The data collection is obtained from a typical gasification process unit.
Keywords
Acknowledgements
The authors would like to express greatest gratitude and thanks to Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka for providing research grant and support. The authors acknowledge the help of undergraduate student, Abdul Paizal Mohd Zain in gathering the data required for this paper.
Citation
Zulkafli, N.I. and Mat Dan, R. (2016), "Investigation of maintenance performance for a gasification process unit using Weibull analysis", Journal of Quality in Maintenance Engineering, Vol. 22 No. 3, pp. 252-263. https://doi.org/10.1108/JQME-08-2015-0039
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited