102
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Optimal designing of a new mixed variable lot-size chain sampling plan based on the process capability index

Pages 2490-2503 | Received 01 Apr 2017, Accepted 30 May 2017, Published online: 23 Oct 2017

References

  • Aslam, M., M. Azam, S. Balamurali, and C.-H. Jun. 2012. A new mixed acceptance sampling plan based on sudden death testing under the Weibull distribution. Journal of the Chinese Institute of Industrial Engineers 29 (6):427–33.
  • Aslam, M., M. Azam, and C.-H. Jun. 2013. A mixed repetitive sampling plan based on process capability index. Applied Mathematical Modelling 37 (24):10027–35.
  • Aslam, M., M. Azam, and C.-H. Jun. 2016. Multiple dependent state repetitive group sampling plan for Burr XII distribution. Quality Engineering 28 (2):231–237.
  • Aslam, M., S. Balamurali and T. Arif. 2016. Improved double acceptance sampling plan based on truncated life test for some popular statistical distributions. Journal of Statistical Computation and Simulation 86 (3):477–493.
  • Aslam, M., S. Balamurali, and C.-H. Jun. 2015. A new mixed variable lot-size sampling plan based on process capability index. Journal of Testing and Evaluation 33 (6):1456–61.
  • Aslam, M., and F. K. Wang. 2017. Acceptance sampling plans for linear profiles with one sided specifications. Journal of Statistical Simulation and Computation 87 (4): 806–16.
  • Aslam, M., C. W. Wu, C. H. Jun, M. Azam, and N. Itay. 2013. Developing a variables repetitive sampling plan based on Cpk with unknown mean and variance. Journal of Statistical Simulation and Computation 83 (8): 1507–17.
  • Aslam, M., C.-W. Wu, M. Azam, and C.-H. Jun. 2014. Mixed acceptance sampling plans for product inspection using process capability index. Quality Engineering 26 (4):450–59.
  • Balamurali, S. 2003. Bootstrap confidence limits for short-run capability indices. Quality Engineering 15 (4):643–48.
  • Balamurali, S. 2016. Chain Sampling. Wiley Stats Ref: Statistics Reference Online, 2014–2016 John Wiley & Sons, DOI:10.1002/9781118445112.stat03091.pub2.
  • Balamurali, S. 2017. A new mixed chain sampling plan based on process capability index for product acceptance. Communications in Statistics-Simulation and Computation 46 (7): 5423–39.
  • Balamurali, S., M. Aslam, and C.-H. Jun. 2016. Designing of two mixed variable lot-size sampling plans using repetitive sampling and resampling based on the process capability index. Sequential Analysis 34 (4):413–22.
  • Balamurali, S., M. Azam, and M. Aslam. 2016. Attribute-variable inspection lots policy using resampling based on EWMA. Communications in Statistics-Simulation and Computation 45 (8):3014–35.
  • Balamurali, S., P. Jeyadurga, and M. Usha. 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.
  • Balamurali, S., P. Jeyadurga, and M. Usha. 2017. Designing of multiple deferred state sampling plan for generalized inverted exponential distribution. Sequential Analysis 36 (1):76–86.
  • Balamurali S., C.-H. Jun, and E. von Collani. 2008. Skip-lot sampling and chain sampling. Encyclopedia of Statistics in Quality and Reliability, Ruggeri, F., R. Kenett. and F. Faltin (Eds). New York: John Wiley & Sons.
  • Balamurali, S., and M. Kalyanasundaram. 2002. Bootstrap lower confidence limits for the process capability indices Cp, Cpk and Cpm. International Journal of Quality and Reliability Management 19 (8/9):1088–97.
  • Balamurali, S., and M. Usha. 2013. Optimal designing of variables chain sampling plans by minimizing the average sample number. International Journal of Manufacturing Engineering 2013, Article ID 7518407, 12 Pages, doi.10.1155/2013/751807.
  • 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.
  • Balamurali, S., and M. Usha. 2017. Developing and designing of an efficient sampling system based on process capability index. Journal of Statistical Computation and Simulation 87 (7):1401–15.
  • Dodge, H. F. 1955. Chain sampling inspection plan. Industrial Quality Control 11:10–13.
  • Gao, Y., and L.-C. Tang. 2005. The effect of correlation on chain sampling plans. Quality and Reliability Engineering International 21:51–61.
  • Govindaraju, K. 2006. Chain Sampling. London, UK: Springer Handbook of Engineering Statistics, pp.263–79.
  • Govindaraju, K. 1990. Selection of ChSP-1 chain sampling plans for given acceptable quality level and limiting quality level. Communications in Statistics-Theory and Methods 19 (6):2179–90.
  • Govindaraju, K., and S. Balamurali. 1998. Chain sampling plan for variables inspection. Journal of Applied Statistics 25 (1):103–09.
  • Gui, W., and M. Aslam. 2017. Acceptance sampling plans based on truncated life tests for weighted exponential distribution. Communications in Statistics-Simulation and Computation 46 (3):2138–51.
  • Hussain, J., S. Balamurali, M. Aslam, and C.-H. Jun. 2017. SkSP-R sampling plan based on process capability index. Communications in Statistics-Theory and Methods 46 (6):2955–66.
  • Kane, V. E. 1986. Process capability indices. Journal of Quality Technology 18 (1):41–52, Corrigenda pp. 265.
  • Kalyanasundaram, M., and S. Balamurali. 2000. Determination of variable lot-size attribute sampling plan indexed by the acceptable quality level and average outgoing quality level for continuous production. Journal of Applied Statistics 27 (2):171–75.
  • Kotz, S., and N. L. Johnson. 2002. Process capability indices – a review, 1992–2000. Journal of Quality Technology 34 (1):2–19.
  • Lee, A. H. I., C. W. Wu, and Y. W. Chen. 2016. A modified variables repetitive group sampling plan with the consideration of preceding lots information. Annals of Operations Research 238 (1):355–73.
  • Li, Y., X. Pu, and D. Xiang, D. 2011. Mixed variables-attributes test plans for single and double acceptance sampling under exponential distribution. Mathematical Problems in Engineering 2011:1–15, Article ID 575036, DOI: 10.1155/2011/575036.
  • Montgomery, D. C. 2009: Introduction to statistical quality control. 6th ed. New York: John Wiley.
  • Raju, C., and J. Jothikumar. 1994. A design of chain sampling plan ChSP-1 based on kullback-leibler information. Journal of Applied Statistics 21 (3):153–60.
  • Rao, G. S., and M. Aslam. 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):1814–24.
  • Read, D. R., and D. W. Beattie. 1961. The variable lot-size acceptance sampling plan for continuous production. Applied Statistics 10:146–56.
  • Schilling, E. G., and D. V. Neubauer. 2009. Acceptance sampling in quality control. 2nd ed. New York, NY, USA: CRC Press.
  • Schilling, E. G., and H. F. Dodge. 1969. Procedures and tables for evaluating dependent mixed acceptance sampling plans. Technometrics 11 (2):341–72.
  • 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.
  • Soundararajan, V. 1978. Procedures and tables for construction and selection of chain sampling plans (ChSP-1)-Part I. Journal of Quality Technology 7:56–60.
  • Vijayaraghavan, R., and S. Uma. 2016. Selection of sampling inspection plans for life tests based on lognormal distribution. Journal of Testing and Evaluation 44 (5):1960–69.
  • Wu, C. W., M. Aslam, and C.-H. Jun. 2017. Developing a variables two-plan system for product acceptance determination. Communications in Statistics-Theory and Methods 46 (2):706–20.
  • 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): 251–268.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.