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

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ASLAM M.; Azam M.; Sherwani R.A.K.; YEN C.H.; Jun C.H.

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Journal Paper

Paper Information

Journal: Scientia Iranica Year:2022 | Volume:29 | Issue:4 (Transactions E: Industrial Engineering) Page(s): 2241-2251

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Title

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

Author(s)

Keywords

Repetitive group sampling

Multiple dependent state sampling

Exponentially weighted moving average

Lot sentencing

Non-linear optimization

Abstract

This study presents 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 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 speci, ed conditions. The performance of the proposed plans over several existing sampling plans is analyzed, showing that the proposed plans are e, cient in reducing the sample size for Lot sentencing. For industrial application, a real example is given to demonstrate the implementation of the proposed plans.

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APA: Copy

ASLAM, M., Azam, M., Sherwani, R.A.K., YEN, C.H., & Jun, C.H.. (2022). Product acceptance determination based on EWMA yield index using repetitive and MDS sampling schemes. SCIENTIA IRANICA, 29(4 (Transactions E: Industrial Engineering)), 2241-2251. SID. https://sid.ir/paper/1050394/en

Vancouver: Copy

ASLAM M., Azam M., Sherwani R.A.K., YEN C.H., Jun C.H.. Product acceptance determination based on EWMA yield index using repetitive and MDS sampling schemes. SCIENTIA IRANICA[Internet]. 2022;29(4 (Transactions E: Industrial Engineering)):2241-2251. Available from: https://sid.ir/paper/1050394/en

IEEE: Copy

M. ASLAM, M. Azam, R.A.K. Sherwani, C.H. YEN, and C.H. Jun, “Product acceptance determination based on EWMA yield index using repetitive and MDS sampling schemes,” SCIENTIA IRANICA, vol. 29, no. 4 (Transactions E: Industrial Engineering), pp. 2241–2251, 2022, [Online]. Available: https://sid.ir/paper/1050394/en

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