A bootstrap control chart for the availability index

The availability index is commonly used to measure the availability of a plant or equipment in maintenance management. To control this index, guaranteeing suitable levels of availability, a control chart can be employed. In this paper, it is proposed a bootstrap chart to control the availability ind...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2022-06, Vol.120 (7-8), p.5151-5161
Main Authors: de Andrade Mairinque, Laryssa, Bruno Dutra Pereira, Robson, Mota Nascimento, Kívia, Henrique Lauro, Carlos, Cardoso Brandão, Lincoln
Format: Article
Language:English
Subjects:
Advanced manufacturing technologies
Availability
CAE) and Design
Computer-Aided Engineering (CAD
Confidence intervals
Control charts
Control data (computers)
Control equipment
Cost reduction
Engineering
Industrial and Production Engineering
Industrial engineering
Maintenance management
Manufacturing
Mechanical Engineering
Media Management
Nonparametric statistics
Original Article
Performance evaluation
Population
Productivity
Quality control
Subgroups
Variables
Citations: Items that this one cites
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Summary:The availability index is commonly used to measure the availability of a plant or equipment in maintenance management. To control this index, guaranteeing suitable levels of availability, a control chart can be employed. In this paper, it is proposed a bootstrap chart to control the availability index. The proposed chart is based on a nonparametric bootstrap, being distribution-free. The chart is applied in normal data and also in lognormal data with distinct subgroup sizes. Simulations are performed to test the chart in under control and out-of-control second phase situations. The proposed bootstrap chart outperformed the individuals’ chart, detecting shifts more quickly when dealing with out-of-control data from the lognormal distribution. Therefore, the proposed bootstrap chart for the availability index is suitable when dealing with non-normal availability data.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-022-09009-2