Designing of Variables Modified Chain Sampling Plan Based on the Process Capability Index with Unknown Mean and Variance

References

• Aslam, M., Wu, C. W., Azam, M., & Jun, C. H. (2013a). Variables sampling inspection for resubmitted lots based on process capability index Cpk for normally distributed items. Applied Mathematical Modelling, 37(3), 667–675.
   Web of Science ®Google Scholar
• Aslam, M., Wu, C. W., Jun, C. H., Azam, M., & Itay, N. (2013b). Developing a variables repetitive sampling plan based on Cpk with unknown mean and variance. Journal of Statistical Simulation and Computations, 83(8), 1507–1517.
   Web of Science ®Google Scholar
• Aslam, M., Azam, M., & Jun, C. H. (2013c). Multiple dependent sampling plan based on process capability index. Journal of Testing and Evaluation, 41(2), 340–346.
   Web of Science ®Google Scholar
• Aslam, M., Balamurali, S., Azam, M., & Srinivasa Rao, G. (2015a). Mixed multiple dependent state sampling plans based on process capability index. Journal of Testing and Evaluation, 43(1), 171–178.
   Web of Science ®Google Scholar
• Aslam, M., Balamurali, S, Azam, M., & Jun, C-H. (2015b). A new mixed variable lot size sampling plan based on process capability index. Journal of Testing and Evaluation, 43(6), 1456–1461.
   Web of Science ®Google Scholar
• Aslam, M., Azam, M., & Jun, C. H. (2016). Multiple dependent state repetitive group sampling plan for burr XII distribution. Quality Engineering, 28(2), 231–237.
   Web of Science ®Google Scholar
• Aslam, M., Balamurali, S., & Arif, T. (2016). Improved double acceptance sampling plan based truncated life test for some popular statistical distributions. Journal of Statistical Computation and Simulation, 86(3), 477–493.
   Web of Science ®Google Scholar
• Aslam, M., & Wang, F. K. (2017). Acceptance sampling plans for linear profiles with one sided specifications. Journal of Statistical Simulation and Computation, 87(4), 806–816.
   Web of Science ®Google Scholar
• Balamurali, S., Aslam, M., & Jun, C. H. (2016). Designing of two mixed variable lot- size sampling plans using repetitive sampling and resampling based on the process capability index. Sequential Analysis, 35(4), 413–422.
   Web of Science ®Google Scholar
• Balamurali, S., Aslam, M., Ill-Gyo, C., & Aldosari, M. S. (2017). Hybrid reliability sampling plan for gamma life time model. International Journal of Applied Mathematics and Statistics, 56(5), 24–33.
   Web of Science ®Google Scholar
• Balamurali, S., Jeyadurga, P., & Usha, M. (2016). Designing of bayesian multiple deferred state sampling plan based on gamma-poisson distribution. American Journal of Mathematical and Management Sciences, 35(1), 77–90.
   Google Scholar
• Balamurali, S., Jeyadurga, P., & Usha, M. (2017a). Optimal designing of multiple deferred state sampling plan for weibull distributed life times assuring mean life. American Journal of Mathematical and Management Sciences, 36(2), 150–161.
   Google Scholar
• Balamurali, S., Jeyadurga, P., & Usha, M. (2017b). Designing of multiple deferred state sampling plan for generalized inverted exponential distribution. Sequential Analysis, 36(1), 76–86.
   Web of Science ®Google Scholar
• Balamurali, S., Park, H., Jun, C. H., Kim, K. J., & Lee, J. (2005). Designing of variables repetitive group sampling plan involving minimum average sample number. Communications in Statistics-Simulation and Computation, 34, 799–809.
   Web of Science ®Google Scholar
• Balamurali, S., & Usha, M. (2013). Optimal Designing of Variables Chain Sampling Plan by Minimizing the Average Sample Number. International Journal of Manufacturing Engineering, 2013(12) 1–12. doi:10.1155/2013/751807
   Google Scholar
• Balamurali, S., & Usha, M. (2014). Optimal designing of variables quick switching system based on the process capability index Cpk. Journal of Industrial and Production Engineering, 31(2), 85–94.
   Google Scholar
• Balamurali, S., & Usha, M (2015). Optimal designing of variables sampling plan for resubmitted lots. Communications in Statistics-Simulation and Computation, 44(5), 1210–1224.
   Web of Science ®Google Scholar
• Balamurali, S., & Usha, M. (2017a). Designing of variables quick switching sampling system by considering process loss functions. Communications in Statistics-Theory and Methods, 46(5), 2299–2314.
   Web of Science ®Google Scholar
• Balamurali, S., & Usha, M. (2017b). Developing and designing of an efficient sampling system based on process capability index. Journal of Statistical Computation and Simulation, 87(7), 1401–1415.
   Web of Science ®Google Scholar
• Chan, L. K., Cheng, S. W., & Spring, F. A. (1988). A new measure of process capability: Cpm. Journal of Quality Technology, 30(3), 162–175.
   Web of Science ®Google Scholar
• Duncan, A. J. (1986). Quality control and industrial statistics (5th ed.). Homewood, Illinois: Richard D. Irwin.
   Google Scholar
• Dodge, H. F. (1955). Chain sampling inspection plan. Industrial Quality Control, 11(1), 10–13.
   Google Scholar
• Dodge, H. F. (1969). Notes on evolution of acceptance sampling plans – part I. Journal of Quality Technology, 1(2), 77–88.
   Google Scholar
• Fallah Nezhad, M. S., & Seifi, S. (2016). Designing different sampling plans based on process capability index. International Journal of Engineering, 29(8), 1120–1130.
   Google Scholar
• Fallah Nezhad, M. S., & Seifi, S. (2017). Repetitive group sampling plan based on the process capability index for the lot acceptance problem. Journal of Statistical Computation and Simulation, 87(1), 29–41.
   Web of Science ®Google Scholar
• Govindaraju, K., & Balamurali, S. (1998). Chain sampling plan for variables inspection. Journal of Applied Statistics, 25(1), 103–109.
   Web of Science ®Google Scholar
• Govindaraju, K., & Lai, C. D. (1998). A modified ChSP-1 chain sampling Pla, MChSP-1, with very small samples. American Journal of Mathematical and Management Sciences, 18(3–4), 343–358.
   Google Scholar
• Gui, W., & Aslam, M. (2017). Acceptance sampling plans based on truncated life tests for weighted exponential distribution. Communications in Statistics- Simulation and Computation, 46(3), 2138–2151.
   Web of Science ®Google Scholar
• Hussain, J., Balamurali, S., Aslam, M., & Jun, C-H. (2017). SkSP-R sampling plan based on process capability index. Communications in Statistics-Theory and Methods, 46(6), 2955–2966.
   Web of Science ®Google Scholar
• Itay, N., Parmet, Y., & Schechtman, E. (2009). Developing a sampling plan based on Cpk. Quality Engineering, 21(3), 306–318.
   Web of Science ®Google Scholar
• Itay, N., Parmet, Y., & Schechtman, E. (2010). Developing a sampling plan based on Cpk-unknown variance. Quality and Reliability Engineering International, 27(1), 3–14.
   Web of Science ®Google Scholar
• Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52, Corrigenda pp. 265.
   Web of Science ®Google Scholar
• Kotz, S., & Johnson, N. L. (2002). Process capability indices – a review, 1992–2000. Journal of Quality Technology, 34(1), 2–19.
   Web of Science ®Google Scholar
• Pearn, W. L., & Kotz, S. (2006). Encyclopedia and handbook of process capability index: A comprehensive exposition of quality control measures. Hackensack, NJ: World Scientific.
   Google Scholar
• Pearn, W. L., & Wu, C. W. (2007). An effective decision making method for product acceptance. Omega-International Journal of Management Science, 35(1), 12–21.
   Web of Science ®Google Scholar
• Rao, G. S., & Aslam, M. (2017). Resubmitted lots with single sampling plans by attributes under the condition of zero-inflated poisson distribution. Communications in Statistics-Simulation and Computation, 36(3), 1814–1824.
   Web of Science ®Google Scholar
• Sherman, R. E. (1965). Design and evaluation of a repetitive group sampling plan. Technometrics, 7(1), 11–21.
   Web of Science ®Google Scholar
• Soundararajan, V. (1978). Procedures and tables for construction and selection of chain sampling plans (ChSP-1)-Part I. Journal of Quality Technology, 10(2), 56–60.
   Web of Science ®Google Scholar
• Subramani, J., & Balamurali, S. (2016). A modified single sampling plan for the inspection of attribute quality characteristics. Industrial Engineering and Management Systems, 15(1), 41–48.
   Web of Science ®Google Scholar
• Vijayaraghavan, R., & Uma, S. (2016). Selection of sampling inspection plans for life tests based on lognormal distribution. Journal of Testing and Evaluation, 44(5), 1960–1969.
   Web of Science ®Google Scholar
• Wortham, W. A., & Baker, R. C. (1976). Multiple deferred state sampling inspection. International Journal of Production Research, 14(6), 719–731.
   Google Scholar
• Wu, C. W., Aslam, M., & Jun, C-H. (2017). Developing a variables two-plan system for product acceptance determination. Communications in Statistics-Theory and Methods, 46(2), 706–720.
   Web of Science ®Google Scholar
• Wu, C. W., & Pearn, W. L. (2008). A variables sampling plan based on Cpmk for product acceptance determination. European Journal of Operational Research, 184(2), 549–560.
   Web of Science ®Google Scholar
• Wu, C. W., & Wang, Z. H. (2016). Developing a variables multiple dependent sate sampling plan with simultaneous consideration of process yield and quality loss. International Journal of Production Research, 55(8), 2351–2364.
   Web of Science ®Google Scholar
• Yum, B. J., & Kim, K. W. (2011). A bibliography of the literature on process capability indices: 2000–2009. Quality and Reliability Engineering International, 27(3), 251–268.
   Web of Science ®Google Scholar