Economic Design of EWMA Control Charts with Variable Sampling Intervals for Monitoring the Mean and Standard Deviation under Preventive Maintenance and Taguchi’s Loss Functions

The control chart and the maintenance management need to control process quality and reduce out-of-control cost. They are two key tools in the production process; however, they have usually been analyzed separately in the literature. Moreover, the existing studies integrating these two concepts suff...

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Bibliographic Details
Published in:Mathematical problems in engineering 2021-09, Vol.2021, p.1-14
Main Authors: Xue, Li, He, Zhen
Format: Article
Language:English
Subjects:
Breakdowns
Control charts
Design
Economic analysis
Economic models
Failure
Genetic algorithms
Intervals
Maintenance management
Mathematical models
Mean
Monitoring
Optimization
Parameter sensitivity
Preventive maintenance
Process parameters
Product quality
Quality control
Sampling
Sensitivity analysis
Standard deviation
Statistical process control
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Summary:The control chart and the maintenance management need to control process quality and reduce out-of-control cost. They are two key tools in the production process; however, they have usually been analyzed separately in the literature. Moreover, the existing studies integrating these two concepts suffer from three significant drawbacks as follows: (1) using control charts with fixed parameters to monitor the process, so that the small and middle shifts are detected slowly; (2) monitoring the mean and standard deviation separately, whereas, in real condition, the mean and standard deviation should be monitored simultaneously; (3) quality loss function is not usually used to design economic model, which leads to a large social quality loss in the monitoring process of control chart. To eliminate these weaknesses, the economic design of the exponential weighted moving average (EWMA) control chart with variable sampling intervals (VSI) for monitoring the mean and standard deviation under preventive maintenance and Taguchi’s loss functions is proposed. The optimal values of the parameters are determined to minimize the loss-per-item in an average cycle process. In addition, a genetic algorithm is used in a numerical example to search for the optimal values of the parameters. According to the sensitivity analysis, the effect of the model parameters on the solution of the economic model is obtained. Finally, the comparison study shows that the VSI EWMA control charts designed by the joint economic model are expected to reduce loss.
ISSN:1024-123X
1563-5147
DOI:10.1155/2021/6686426