Monitoring the road traffic crashes using NEWMA chart and repetitive sampling

Muhammad Aslam

21 citations0/0 files storedInternational Journal of Injury Control and Safety Promotion

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Advanced Statistical Process Monitoring Probability and Statistical Research Fault Detection and Control Systems

Abstract

In this paper, a control chart for neutrosophic exponentially weighted moving average (NEWMA) is designed using repetitive sampling. The application of the proposed NEWMA chart is given to monitoring road traffic crashes (RTC). The simulation study of RTC and real example of RTC showed that the proposed NEWMA chart performs better in monitoring the RTC as compared to the existing control charts. From the comparative study, it is concluded that the proposed NEWMA chart can be applied effectively to control RTC as compared to the existing charts.

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References

2007Introduction to Statistical Quality Control 2018Design of a New Attribute Control Chart Under Neutrosophic Statistics 2018Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method 2019A new variable control chart using neutrosophic interval method-an application to automobile industry 2013Control charts for accident frequency: a motivation for real-time occupational safety monitoring

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