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Technologies 2018, 6(3), 70; https://doi.org/10.3390/technologies6030070

A New Control Chart for Monitoring the Process Mean Using Successive Sampling and Multiple Dependent State Repetitive Sampling

1
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
2
Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Korea
*
Author to whom correspondence should be addressed.
Received: 18 June 2018 / Revised: 18 July 2018 / Accepted: 25 July 2018 / Published: 30 July 2018
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Abstract

In this paper, a new control chart scheme has been developed for monitoring the production process mean using successive sampling over two occasions. The proposed chart reduces to three different existing control charts under different assumptions and is compared with these three existing control charts for monitoring the process average. It has been observed that the proposed control chart performs better than the other existing control charts in terms of average run length (ARL). A simulation study using an artificial data set was included for demonstrating the process shift detection power of the proposed control chart. View Full-Text
Keywords: successive sampling; auxiliary information; control chart; average run length; process mean successive sampling; auxiliary information; control chart; average run length; process mean
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Aldosari, M.S.; Aslam, M.; Jun, C.-H.; Khan, K. A New Control Chart for Monitoring the Process Mean Using Successive Sampling and Multiple Dependent State Repetitive Sampling. Technologies 2018, 6, 70.

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