Developing variables sampling plans based on EWMA yield index

References

• Aslam, M., C. H. Yen, C. H. Chang, C. H. Jun, M. Ahmad, and M. Rasool. 2012. Two-stage variables acceptance sampling plans using process loss functions. Communications in Statistics-Theory and Method 41 (20):3633–47. doi:10.1080/03610926.2011.563019.
   Web of Science ®Google Scholar
• Aslam, M., C. W. Wu, C. H. Jun, M. Azam, and I. Negrin. 2013. Developing a variables repetitive group sampling plan based on process capability index Cpk with unknown mean and variance. Journal of Statistical Computation and Simulation 83 (8):1507–17. doi:10.1080/00949655.2012.663374.
   Web of Science ®Google Scholar
• Aslam, M., M. Azam, and C. H. Jun. 2014. A new exponentially weighted moving average sign chart using repetitive sampling. Journal of Process Control 24 (7):1149–53. doi:10.1016/j.jprocont.2014.05.001.
   Web of Science ®Google Scholar
• Aslam, M., M. Azam, and C. H. Jun. 2015a. A new lot inspection procedure based on exponentially weighted moving average. International Journal of Systems Science 46 (8):1392–400. doi:10.1080/00207721.2013.822128.
   Web of Science ®Google Scholar
• Aslam, M., M. Azam, and C. H. Jun. 2015b. Improved acceptance sampling plan based on EWMA statistic. Sequential Analysis 34 (3):406–22. doi:10.1080/07474946.2015.1063268.
   Web of Science ®Google Scholar
• Arif, O. H., M. Aslam, and C. H. Jun. 2017. Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index. Journal of Advanced Mechanical Design, Systems, and Manufacturing 11 (1):JAMDSM0004.
   Web of Science ®Google Scholar
• Azam, M., O. H. Arif, M. Aslam, and W. Ejaz. 2016. Repetitive acceptance sampling plan based on exponentially weighted moving average regression estimator. Journal of Computational and Theoretical Nanoscience 13 (7):4413–26. doi:10.1166/jctn.2016.5300.
   Google Scholar
• Azam, M., M. Aslam, and C. H. Jun. 2017. An EWMA control chart for the exponential distribution using repetitive sampling plan. Operations Research and Decisions 27 (2):5–19.
   Web of Science ®Google Scholar
• Balamurali, S., and C. H. Jun. 2006. Repetitive group sampling procedure for variables inspection. Journal of Applied Statistics 33 (3):327–38. doi:10.1080/02664760500446010.
   Web of Science ®Google Scholar
• Balamurali, S., and C. H. Jun. 2007. Multiple dependent state sampling plans for lot acceptance based on measurement data. European Journal of Operational Research 180 (3):1221–30. doi:10.1016/j.ejor.2006.05.025.
   Web of Science ®Google Scholar
• Boyles, R. A. 1994. Process capability with asymmetric tolerances. Communications in Statistics-Simulation Computation 23 (3):615–35. doi:10.1080/03610919408813190.
   Web of Science ®Google Scholar
• Collani, E. V. 1991. A note on acceptance sampling for variables. Metrika 38 (1):19–36.
   Google Scholar
• Dobbah, S. A., A. Hafeez, M. Aslam, N. Khan, and K. Khan. 2016. Mixed multiple dependent state sampling plan using exponentially weighted moving average. Journal of Computational and Theoretical Nanoscience 13 (3):1649–55. doi:10.1166/jctn.2016.5094.
   Google Scholar
• Fallah Nezhad, M. S., A. Ahmadi Yazdi, P. Abdollahi, and M. Aslam. 2015. Design of economic optimal double sampling design with zero acceptance numbers. Journal of Quality Engineering and Production Optimization 1 (2):45–56.
   Google Scholar
• Fallah Nezhad, M. S., and H. Hosseini Nasab. 2012. A new Bayesian acceptance sampling plan considering inspection errors. Scientia Iranica 19 (6):1865–9. doi:10.1016/j.scient.2012.09.009.
   Web of Science ®Google Scholar
• Fallah Nezhad, M. S., and S. Seifi. 2017. Designing optimal double-sampling plan based on process capability index. Communications in Statistics-Theory and Method 46 (13):6624–34. doi:10.1080/03610926.2015.1132325.
   Web of Science ®Google Scholar
• Fallah Nezhad, M. S., and A. Ahmadi Yazdi. 2016. A new optimization model for designing acceptance sampling plan based on run length of conforming items. Hacettepe Journal of Mathematics and Statistics 9 (2):67–87. doi:10.15672/HJMS.2014327483.
   Google Scholar
• Govindaraju, K., and S. Balamurali. 1998. Chain sampling plan for variables inspection. Journal of Applied Statistic 25 (1):103–9. doi:10.1080/02664769823331.
   Web of Science ®Google Scholar
• Klufa, J. 2010. Exact calculation of Dodge-Romig LTPD single sampling plans for inspection by variables. Statistical Papers 51(2):297–305. doi:10.1007/s00362-008-0160-1.
   Web of Science ®Google Scholar
• Khan, N., M. Aslam, C. H. Jun, and J. Hussain. 2018. Design of acceptance sampling plan using a modified EWMA statistic. Communications in Statistics-Theory and Method 47 (12):2881–91. doi:10.1080/03610926.2017.1343846.
   Web of Science ®Google Scholar
• Lee, J. C., H. N. Hung, W. L. Pearn, and T. L. Kueng. 2002. On the distribution of the estimated process yield index Spk. Quality and Reliability Engineering International 18 (2):111–6. doi:10.1002/qre.450.
   Web of Science ®Google Scholar
• Liu, S. W., S. W. Lin, and C. W. Wu. 2014. A resubmitted sampling scheme by variables inspection for controlling lot fraction nonconforming. International Journal of Production Research 52 (12):3744–54. doi:10.1080/00207543.2014.886028.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2009. Introduction to statistical quality control. (6th ed.), New York, John Wiley, and Sons.
   Google Scholar
• Rasay, H., M. Pourgharibshahi, and M. Fallahnezhad. 2018. Sequential sampling plan in the truncated life test for weibull distribution. Journal of Testing and Evaluation 46 (2):693–703.
   Web of Science ®Google Scholar
• Seidel, W. 1997. Is sampling by variables worse than sampling by attributes? A decision-theoretic analysis and a new mixed strategy for inspecting individual lots. Sankhya B 59 (1):96–107.
   Google Scholar
• Tsai, T. R., and C. W. Lin. 2010. Acceptance sampling plans under progressive interval censoring with likelihood ratio. Statistical Papers 51 (2):259–71. doi:10.1007/s00362-008-0141-4.
   Web of Science ®Google Scholar
• Vangjeli, E. 2012. ASN-minimax double sampling plans by variables for two-sided limits when the standard deviation is known. Statistical Papers 53 (1):229–38. doi:10.1007/s00362-010-0331-8.
   Web of Science ®Google Scholar
• Wang, C. H., and W. C. Tsai. 2012. Determining the production lot size with a heuristic inspection policy for controlling the quality of input materials and products. International Journal of Systems Science 43 (11):2030–9. doi:10.1080/00207721.2011.563872.
   Web of Science ®Google Scholar
• Wu, C. W., and S. W. Liu. 2014. Developing a sampling plan by variables inspection for controlling lot fraction of defectives. Applied Mathematical Modelling 38 (9-10):2303–10. doi:10.1016/j.apm.2013.10.043.
   Web of Science ®Google Scholar
• Wang, F. K. 2016. A single sampling plan based on exponentially weighted moving average model for linear profiles. Quality and Reliability Engineering International 32 (5):1795–805. doi:10.1002/qre.1914.
   Web of Science ®Google Scholar
• Wang, F. K., and Y. Tamirat. 2015. Lower confidence bound for process yield index Spk with autocorrelated process data. Quality Technology and Quantitative Management 12 (2):253–67. doi:10.1080/16843703.2015.11673380.
   Web of Science ®Google Scholar
• Yen, C. H., M. Aslam, and C. H. Jun. 2014. A lot inspection sampling plan based on EWMA yield index. The International Journal of Advanced Manufacturing Technology 75 (5-8):861–8. doi:10.1007/s00170-014-6174-z.
   Web of Science ®Google Scholar
• Yen, C. H., and C. H. Chang. 2009. Designing variables sampling plans with process loss consideration. Communications in Statistics: Simulation and Computation 38 (8):1579–91. doi:10.1080/03610910903046809.
   Web of Science ®Google Scholar