javadi, S., Niaki, S. (2013). A New Uni-attribute Control Chart to Monitor the Number of Nonconformities. Journal of Optimization in Industrial Engineering, 6(12), 79-83.
sonia javadi; S.T.A Niaki. "A New Uni-attribute Control Chart to Monitor the Number of Nonconformities". Journal of Optimization in Industrial Engineering, 6, 12, 2013, 79-83.
javadi, S., Niaki, S. (2013). 'A New Uni-attribute Control Chart to Monitor the Number of Nonconformities', Journal of Optimization in Industrial Engineering, 6(12), pp. 79-83.
javadi, S., Niaki, S. A New Uni-attribute Control Chart to Monitor the Number of Nonconformities. Journal of Optimization in Industrial Engineering, 2013; 6(12): 79-83.
A New Uni-attribute Control Chart to Monitor the Number of Nonconformities
1MSc, Department of Industrial & Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2Department of Industrial Engineering, Sharif University of Technology
P.O. Box 11155-9414 Azadi Ave, Tehran 1458889694 Iran Email: Niaki@Sharif.edu
Abstract
The most well-known uni-arribute control chart used to monitor the number of nonconformities per unit is the Shewhart type C-chart. In this paper, a new method is proposed in an attempt to reduce the false alarm rate in the C-chart. To do this, the decision on beliefs (DOB) concept is first uti
lized to design an iterative method, where the belief is used to decide whether a process is in an in-control or out-of-control state. Then, a new statistic is defined based on the DOB and the chart is designed accordingly. Some simulation experiments are also performed to evaluate the performance of the proposed scheme and to compare its in-control and out-of-control average run length (ARL) with those of the C and the EWMA charts in different scenarios of mean shifts. Finally, a case study is given to illustrate the application of the proposed methodology. The results show the proposed control chart outperforms the other two charts.
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