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Time Truncated Life Tests Using the Generalized Multiple Dependent State Sampling Plans for Various Life Distributions

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Statistical Quality Technologies

Part of the book series: ICSA Book Series in Statistics ((ICSABSS))

Abstract

This chapter presents the designing of the generalized multiple dependent state sampling (GMDSS) plans for the various statistical distributions. We will present the design of GMDSS sampling when the failure time follows the gamma distribution, Burr type XII distribution and the Birnbaum-Saunders (BS) distribution. The necessary measures including the operating characteristics (OC) function are derived. The plan parameters of the proposed test plans are determined through the non-linear optimization solution. The proposed sampling plan is studied for a minimal sample size subject to specified requirements of the consumer and producer’ risks. The efficiency of the proposed plans in terms of sample sizes are discussed over the existing sampling plans using the same level of all parameters. The advantages of the proposed plans are discussed through simulated data and real data from the industry.

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References

  1. Rosaiah, K., & Kantam, R. (2005). Acceptance sampling based on the inverse Rayleigh distribution. Economic Quality Control, 20(2), 277–286.

    Article  MathSciNet  MATH  Google Scholar 

  2. Chen, J., Li, K.-H., & Lam, Y. (2007). Bayesian single and double variable sampling plans for the Weibull distribution with censoring. European Journal of Operational Research, 177(2), 1062–1073.

    Article  MathSciNet  MATH  Google Scholar 

  3. Vijayaraghavan, R., Rajagopal, K., & Loganathan, A. (2008). A procedure for selection of a gamma-Poisson single sampling plan by attributes. Journal of Applied Statistics, 35(2), 149–160.

    Article  MathSciNet  Google Scholar 

  4. Lio, Y., Tsai, T.-R., & Wu, S.-J. (2009). Acceptance sampling plans from truncated life tests based on the Birnbaum–Saunders distribution for percentiles. Communications in Statistics-Simulation and Computation, 39(1), 119–136.

    Article  MathSciNet  MATH  Google Scholar 

  5. Rao, G. S. (2009). A group acceptance sampling plans based on truncated life tests for Marshall-Olkin extended Lomax distribution. Electronic Journal of Applied Statistical Analysis, 3(1), 18–27.

    Google Scholar 

  6. Aslam, M., Jun, C.-H., & Ahmad, M. (2011). New acceptance sampling plans based on life tests for Birnbaum–Saunders distributions. Journal of Statistical Computation and Simulation, 81(4), 461–470.

    Article  MathSciNet  MATH  Google Scholar 

  7. Al-Nasser, A. D., & Al-Omari, A. I. (2013). Acceptance sampling plan based on truncated life tests for exponentiated Frechet distribution. Journal of Statistics and Management Systems, 16(1), 13–24.

    Article  Google Scholar 

  8. Aslam, M., Balamurali, S., Jun, C.-H., & Meer, A. (2017). Time-truncated attribute sampling plans using EWMA for Weibull and Burr type X distributions. Communications in Statistics-Simulation and Computation, 46(6), 4173–4184.

    Article  MathSciNet  MATH  Google Scholar 

  9. Al-Omari, A. I. (2018). The transmuted generalized inverse Weibull distribution in acceptance sampling plans based on life tests. Transactions of the Institute of Measurement and Control, 40(16), 4432–4443.

    Article  Google Scholar 

  10. Aslam, M., Mahmood, Y., Lio, Y., Tsai, T.-R., & Khan, M. A. (2012). Double acceptance sampling plans for Burr type XII distribution percentiles under the truncated life test. Journal of the Operational Research Society, 63(7), 1010–1017.

    Article  Google Scholar 

  11. Aslam, M., Niaki, S., Rasool, M., & Fallahnezhad, M. (2012). Decision rule of repetitive acceptance sampling plans assuring percentile life. Scientia Iranica, 19(3), 879–884.

    Article  Google Scholar 

  12. Ramasamy, A. S., & Sutharani, R. (2013). Designing double acceptance sampling plans based on truncated life tests in rayleigh distribution using minimum angle method. American Journal of Mathematics and Statistics, 3(4), 227–236.

    Google Scholar 

  13. Gui, W., & Xu, M. (2015). Double acceptance sampling plan based on truncated life tests for half exponential power distribution. Statistical Methodology, 27, 123–131.

    Article  MathSciNet  MATH  Google Scholar 

  14. Al-Omari, A. I., & Zamanzade, E. (2017). Double acceptance sampling plan for time truncated life tests based on transmuted generalized inverse Weibull distribution. Journal of Statistics Applications and Probability, 6, 1–6.

    Article  Google Scholar 

  15. Gui, W., & Lu, X. (2018). Double acceptance sampling plan based on the Burr type X distribution under truncated life tests. International Journal of Industrial and Systems Engineering, 28(3), 319–330.

    Article  MathSciNet  Google Scholar 

  16. Yen, C.-H., Chang, C.-H., & Aslam, M. (2015). Repetitive variable acceptance sampling plan for one-sided specification. Journal of Statistical Computation and Simulation, 85(6), 1102–1116.

    Article  MathSciNet  Google Scholar 

  17. Balamurali, S., Jeyadurga, P., & Usha, M. (2018). Optimal design of repetitive group sampling plans for Weibull and gamma distributions with applications and comparison to the Birnbaum–Saunders distribution. Journal of Applied Statistics, 45(14), 1–22.

    Article  MathSciNet  Google Scholar 

  18. Saminathan, B., & Mahalingam, U. (2018). A new mixed repetitive group sampling plan based on the process capability index for product acceptance. International Journal of Quality & Reliability Management, 35(2), 463–480.

    Article  Google Scholar 

  19. Balamurali, S., & Jun, C.-H. (2007). Multiple dependent state sampling plans for lot acceptance based on measurement data. European Journal of Operational Research, 180(3), 1221–1230.

    Article  MATH  Google Scholar 

  20. Yan, A., Liu, S., & Dong, X. (2016). Designing a multiple dependent state sampling plan based on the coefficient of variation. Springerplus, 5(1), 1447.

    Article  Google Scholar 

  21. Balamurali, S., Jeyadurga, P., & Usha, M. (2017). Designing of multiple deferred state sampling plan for generalized inverted exponential distribution. Sequential Analysis, 36(1), 76–86.

    Article  MathSciNet  MATH  Google Scholar 

  22. Balamurali, S., Jeyadurga, P., & Usha, M. (2017). Optimal designing of multiple deferred state sampling plan for assuring percentile life under Weibull distribution. The International Journal of Advanced Manufacturing Technology, 93(9–12), 3095–3109.

    Article  MATH  Google Scholar 

  23. Wu, C.-W., Lee, A. H., & Chang Chien, C.-C. (2017). A variables multiple dependent state sampling plan based on a one-sided capability index. Quality Engineering, 29(4), 719–729.

    Article  Google Scholar 

  24. Lio, Y., Tsai, T.-R., & Wu, S.-J. (2010). Acceptance sampling plans from truncated life tests based on the Burr type XII percentiles. Journal of the Chinese Institute of Industrial Engineers, 27(4), 270–280.

    Article  Google Scholar 

  25. Burr, I. W. (1942). Cumulative frequency functions. The Annals of Mathematical Statistics, 13(2), 215–232.

    Article  MathSciNet  MATH  Google Scholar 

  26. Birnbaum, Z. W., & Saunders, S. C. (1969). A new family of life distributions. Journal of Applied Probability, 6(2), 319–327.

    Article  MathSciNet  MATH  Google Scholar 

  27. Lemonte, A. J., Cribari-Neto, F., & Vasconcellos, K. L. (2007). Improved statistical inference for the two-parameter Birnbaum–Saunders distribution. Computational Statistics & Data Analysis, 51(9), 4656–4681.

    Article  MathSciNet  MATH  Google Scholar 

  28. Zimmer, W. J., Keats, J. B., & Wang, F. (1998). The Burr XII distribution in reliability analysis. Journal of Quality Technology, 30(4), 386–394.

    Article  Google Scholar 

  29. Nelson, W. B. (2005). Applied life data analysis (Vol. 577). Hoboken: Wiley.

    MATH  Google Scholar 

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Correspondence to Muhammad Aslam .

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Aslam, M., Rao, G.S., Albassam, M. (2019). Time Truncated Life Tests Using the Generalized Multiple Dependent State Sampling Plans for Various Life Distributions. In: Lio, Y., Ng, H., Tsai, TR., Chen, DG. (eds) Statistical Quality Technologies. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-20709-0_7

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