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Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics

Author

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  • Ahmed Ibrahim Shawky
  • Muhammad Aslam
  • Khushnoor Khan
  • Francisco Balibrea

Abstract

In this paper, a control chart scheme has been introduced for the mean monitoring using gamma distribution for belief statistics using multiple dependent (deferred) state sampling under the neutrosophic statistics. The coefficients of the control chart and the neutrosophic average run lengths have been estimated for specific false alarm probabilities under various process conditions. The offered chart has been compared with the existing classical chart through simulation and the real data. From the comparison, it is concluded that the performance of the proposed chart is better than that of the existing chart in terms of average run length under uncertain environment. The proposed chart has the ability to detect a shift quickly than the existing chart. It has been observed that the proposed chart is efficient in quick monitoring of the out-of-control process and a cherished addition in the toolkit of the quality control personnel.

Suggested Citation

  • Ahmed Ibrahim Shawky & Muhammad Aslam & Khushnoor Khan & Francisco Balibrea, 2020. "Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics," Journal of Mathematics, Hindawi, vol. 2020, pages 1-14, August.
    • Handle: RePEc:hin:jjmath:7680286
    DOI: 10.1155/2020/7680286
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    Cited by:

    1. Muhammad Aslam & Gadde Srinivasa Rao & Mohammed Albassam, 2022. "Sampling Inspection Plan to Test Daily COVID-19 Cases Using Gamma Distribution under Indeterminacy Based on Multiple Dependent Scheme," IJERPH, MDPI, vol. 19(9), pages 1-14, April.

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