On the performance of modified EWMA charts using resampling schemes

• Authors: KHAN Nasrullah , YASMIN Talat , ASLAM Muhammad , JUN Chi-Hyuck
• Languages of publication: EN

Abstracts

EN

Two popular sampling schemes have been used to design control charts by means of a modified exponentially weighted moving average (EWMA) statistic. The structures of the proposed charts, using repetitive group sampling and multiple dependent state sampling, have been presented. The values of average run length have been determined by some specified control chart parameters. The performance of the proposed chart was illustrated via a simulation study. The efficiency of the proposed chart has been compared with the existing one. A practical example based on real data was also given to explain the application of the proposed chart in industry.

Keywords

EN

repetitive group sampling; multiple dependent state sampling; EWMA statistic; average run; length; simulation

• Publisher: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Journal: Operations Research and Decisions
• Year: 2018
• Volume: 28
• Issue: 3
• Pages: 29-43

Contributors

author

KHAN Nasrullah

• Department of Statistics, College of Veterinary and Animal Sciences (Jhang Campus), University of Veterinary and Animal Sciences, Outfall Road Lahore 54000, Pakistan

author

YASMIN Talat

• Faculty of Information Technology, University of Central Punjab, 1 Khayaban-e-Jinnah Road, Johar Town, Lahore, Pakistan

author

ASLAM Muhammad

• Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah 21551, Saudi Arabia

author

JUN Chi-Hyuck

• Department of Industrial and Management Engineering, POSTECH, Chungamro 77, Pohang 37673, South Korea

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Identifiers

DOI

10.5277/ord180303