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Maintenance Resources Optimization Using Pareto Analysis: Instrumentation Air Compressor in Oredo, Nigeria
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Author(s): Gregory Omozuhiomwen Egbe (University of Benin, Nigeria), Stella N. Arinze (Enugu State University of Science and Technology, Nigeria), Solomon H. Ebenuwa (University of Greenwich, UK), Emenike Raymond Obi (RaySoft AssetAnalytics, Canada)and Augustine O. Nwajana (University of Greenwich, UK)
Copyright: 2024
Volume: 13
Issue: 1
Pages: 14
Source title:
International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME)
Editor(s)-in-Chief: J. Paulo Davim (University of Aveiro, Portugal)
DOI: 10.4018/IJMMME.353392
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Abstract
Managing resource allocation for optimum effectiveness at various levels of maintenance activities is always a challenging task. Optimizing maintenance resources enables an organization to set priorities towards achieving certain goals which are availability and reliability of the equipment for operational excellence. The purpose of this analysis is to determine the optimum resources allocation proportions among the failure modes and to identify the failure modes that have the greatest cumulative effect on the equipment's downtime. This paper presents a methodology using the Pareto analysis in conjunction with failure mode effect and criticality Analysis in maintenance resources optimization. The approach is based on ensuring all failure mode criticality number are considered to obtain the significant failures mode that you should focus on as a priority. The analysis shows that failure mode; FM5, FM 3, FM 2, FM 12, FM 7 and FM 13 are confirmation to the Pareto principle, identifying that most of the downtime of the Instrumentation Air Compressors originated from these failure modes.
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