Application of Risk-Based Maintenance Using Analytic Hierarchy Process for Selection of Maintenance Policy of Dragline

This paper proposes an approach to select the optimum maintenance policy for mining equipment using risk-based maintenance (RBM). RBM constitutes the process of risk assessment that identifies high-risk components of equipment, and analytic hierarchy process (AHP) that helps selecting an optimum mai...

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Bibliographic Details
Published in:Journal of mining science 2020-07, Vol.56 (4), p.616-630
Main Authors: Sahoo, B. R., Palei, S. K.
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Coal mines
Components
Downtime
Draglines
Earth and Environmental Science
Earth Sciences
Gearboxes
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Maintenance costs
Mineral industry
Mineral Resources
Mining equipment
Mining industry
Mining machinery
Policies
Predictive maintenance
Preventive maintenance
Reduction gearboxes
Risk assessment
Roads
Science of Mining Machines
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Summary:This paper proposes an approach to select the optimum maintenance policy for mining equipment using risk-based maintenance (RBM). RBM constitutes the process of risk assessment that identifies high-risk components of equipment, and analytic hierarchy process (AHP) that helps selecting an optimum maintenance policy for individual components. By applying RBM, three high-risk components of dragline such as reduction gearbox, bearing, and motor pinion shaft have been identified,and then AHP was used on these three components by considering four criteria, eight sub-criteria and four alternative maintenance policies (such as periodic, preventive, predictive and corrective maintenance). Local and global scores for these three components were calculated from the opinion of three experts of the case study mine. AHP global scores revealed that the optimum maintenance policy for reduction gearbox and motor pinion shaft was preventive maintenance, whereas for bearing it was periodic maintenance policy. Adoption of such maintenance planning is expected to reduce maintenance cost and downtime of the dragline.
ISSN:1062-7391
1573-8736
DOI:10.1134/S1062739120046909