Design and construction of a quick-switching sampling system with a third-generation capability index

References

• Balamurali, S., and M. Usha. 2011. Optimal designing of a variables quick switching variables sampling system by minimizing the average sample number. Journal of Applied Statistical Science 19 (3):295–310.
   Google Scholar
• Balamurali, S., and M. Usha. 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. doi: 10.1080/21681015.2014.893929.
   Google Scholar
• Balamurali, S., and M. Usha. 2017. Developing and designing of an efficient variables sampling system based on the process capability index. Journal of Statistical Computation and Simulation 87 (7):1401–15. doi: 10.1080/00949655.2016.1267735.
   Web of Science ®Google Scholar
• Boyles, R. A. 1994. Process capability with asymmetric tolerances. Communications in Statistics - Simulation and Computation 23 (3):615–35. doi: 10.1080/03610919408813190.
   Web of Science ®Google Scholar
• Chan, L. K., S. W. Cheng, and F. A. Spiring. 1988. A new measure of process capability: Cpm. Journal of Quality Technology 20 (3):162–75. doi: 10.1080/00224065.1988.11979102.
   Web of Science ®Google Scholar
• Dodge, H. 1967. A new dual system of acceptance sampling. New Brunswick, New Jersey: Rutgers-The State University.
   Google Scholar
• Govindaraju, K., and S. Ganesalingam. 1998. Zero acceptance number quick switching system for compliance sampling. Journal of Applied Statistics 25 (3):399–407. doi: 10.1080/02664769823124.
   Web of Science ®Google Scholar
• Govindaraju, K., and K. Subramani. 1990. Selection of single sampling attributes plan for given acceptable quality level and limiting quality level involving minimum risks. Communications in Statistics - Simulation and Computation 19 (4):1293–302. doi: 10.1080/03610919008812917.
   Web of Science ®Google Scholar
• Hsiang, T., and G. Taguchi. 1985. A tutorial on quality control and assurance-the Taguchi methods. Paper presented at the Meetings of the American Statistical Association, Las Vegas, NV.
   Google Scholar
• Kotz, S., and C. R. Lovelace. 1998. Process capability indices in theory and practice. London, U.K.: Arnold.
   Google Scholar
• Kuralmani, V., and K. Govindaraju. 1992. Modified tables for the selection of quick switching systems for values of the given acceptable quality level and limiting quality level. Journal of Applied Statistics 19 (2):263–72. doi: 10.1080/02664769200000022.
   Google Scholar
• Liu, S. W., and C. W. Wu. 2016. A quick switching sampling system by variables for controlling lot fraction nonconforming. International Journal of Production Research 54 (6):1839–49. doi: 10.1080/00207543.2015.1084062.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2009. Introduction to statistical quality control. 6th ed. New Jersey: John Wiley & Sons.
   Google Scholar
• Pearn, W. L., S. Kotz, and N. L. Johnson. 1992. Distributional and inferential properties of process capability indices. Journal of Quality Technology 24 (4):216–31. doi: 10.1080/00224065.1992.11979403.
   Web of Science ®Google Scholar
• Pearn, W. L., and P. C. Lin. 2002. Computer program for calculating the P‐value in testing process capability index Cpmk. Quality and Reliability Engineering International 18 (4):333–42. doi: 10.1002/qre.465.
   Web of Science ®Google Scholar
• Pearn, W. L., and M. H. Shu. 2004. Measuring manufacturing capability based on lower confidence bounds of Cpmk applied to current transmitter process. The International Journal of Advanced Manufacturing Technology 23 (1-2):116–25. doi: 10.1007/s00170-003-1693-z.
   Web of Science ®Google Scholar
• Romboski, L. 1969. An investigation of quick switching acceptance sampling systems. New Jersey: The State University.
   Google Scholar
• Romboski, L. 1990. Quick switching systems in acceptance sampling. In Statistical sampling: past, present and future theoretical and practical, edited by M. Kowalewski, 40–54. West Conshohocken, PA: ASTM International. https://doi.org/10.1520/STP25443S
   Google Scholar
• Schilling, E. G., and D. V. Neubauer. 2008. Acceptance sampling in quality control. 2nd ed. New York: Chapman & Hall/CRC.
   Google Scholar
• Soundararajan, V., and M. Palanivel. 2000. Quick switching variables single sampling (QSVSS) system indexed by AQL and AOQL. Journal of Applied Statistics 27 (6):771–78. doi: 10.1080/02664760050081942.
   Web of Science ®Google Scholar
• Spiring, F., B. Leung, S. Cheng, and A. Yeung. 2003. A bibliography of process capability papers. Quality and Reliability Engineering International 19 (5):445–60. doi: 10.1002/qre.538.
   Web of Science ®Google Scholar
• Stephens, K. S., and H. F. Dodge. 1967. Evaluation of response characteristics of chain sampling inspection plans. The Statistics Center, Rutgers, The State University, New Brunswick, NJ.
   Google Scholar
• Vännman, K. 1997. Distribution and moments in simplified form for a general class of capability indices. Communications in Statistics - Theory and Methods 26 (1):159–79. doi: 10.1080/03610929708831908.
   Web of Science ®Google Scholar
• Wang, F. K., and Y. Tamirat. 2018. Acceptance sampling plan based on an exponentially weighted moving average statistic with the yield index for autocorrelation between polynomial profiles. Communications in Statistics - Theory and Methods 47 (19):4859–71. doi: 10.1080/03610926.2018.1454960.
   Web of Science ®Google Scholar
• Wu, C. W., A. H. Lee, S. W. Liu, and M. H. Shih. 2017. Capability-based quick switching sampling system for lot disposition. Applied Mathematical Modelling 52:131–44. doi: 10.1016/j.apm.2017.07.050.
   Web of Science ®Google Scholar
• Wu, C. W., S. W. Liu, J. T. Chen, and J. J. Lin. 2019. Design and construction of a variables switch-based sampling system for product acceptance determination. The International Journal of Advanced Manufacturing Technology 101 (9-12):2643–52. doi: 10.1007/s00170-018-3147-7.
   Web of Science ®Google Scholar
• Wu, C. W., and W. L. Pearn. 2008. A variables sampling plan based on Cpmk for product acceptance determination. European Journal of Operational Research 184 (2):549–60. doi: 10.1016/j.ejor.2006.11.032.
   Web of Science ®Google Scholar
• Wu, C. W., W. Pearn, and S. Kotz. 2009. An overview of theory and practice on process capability indices for quality assurance. International Journal of Production Economics 117 (2):338–59. doi: 10.1016/j.ijpe.2008.11.008.
   Web of Science ®Google Scholar
• Wu, C. W., M. H. Shu, A. A. Nugroho, and N. Kurniati. 2015. A flexible process-capability-qualified resubmission-allowed acceptance sampling scheme. Computers & Industrial Engineering 80:62–71. doi: 10.1016/j.cie.2014.11.015.
   Web of Science ®Google Scholar
• Wu, C. W., and Z. H. Wang. 2017. Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss. International Journal of Production Research 55 (8):2351–64. doi: 10.1080/00207543.2016.1244360.
   Web of Science ®Google Scholar
• Wu, C. W., T. H. Wu, and T. Chen. 2015. Developing a variables repetitive group sampling scheme by considering process yield and quality loss. International Journal of Production Research 53 (7):2239–51. doi: 10.1080/00207543.2014.986300.
   Web of Science ®Google Scholar
• Yum, B. J., and K. W. Kim. 2011. A bibliography of the literature on process capability indices: 2000–2009. Quality and Reliability Engineering International 27 (3):251–68. doi: 10.1002/qre.1115.
   Web of Science ®Google Scholar