Product acceptance determination based on EWMA yield index using repetitive and MDS sampling schemes

Document Type : Article

Authors

1 Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia

2 Department of Statistics and Computer Sciences, University of Veterinary and Animals Sciences, Lahore 54000, Pakistan

3 College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan

4 Department of Industrial Engineering and Management Information, Huafan University, Taipei, Taiwan

5 Department of Industrial and Management Engineering, POSTECH, Pohang 37673, Republic of Korea

Abstract

In this manuscript, we present a repetitive group sampling plan and a multiple dependent state sampling plan based on the EWMA (exponentially weighted moving average) yield index for product acceptance. The proposed plans utilize the current and the previous information through EWMA statistic to reach a decision of lot sentencing. A non-linear optimization model is developed to determine the plan parameters of the proposed plans for various specified conditions. The performance of the proposed plans over several existing sampling plans is analyzed, which shows that the proposed plans are efficient in reducing the sample size for lot sentencing. For industrial application, a real example is given to demonstrate the implementation of the proposed plans.

Keywords

References

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Scientia Iranica
Volume 29, Issue 4
Transactions on Industrial Engineering (E)
July and August 2022
Pages 2241-2251

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History

  • Receive Date: 19 February 2020
  • Revise Date: 30 July 2020
  • Accept Date: 03 January 2022

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