119
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Economic-statistical design of variable parameters s chart

, ORCID Icon & ORCID Icon
Pages 580-591 | Accepted 27 Nov 2019, Published online: 06 Dec 2019

References

  • Amiri, F., Noghondarian, K., & Safaei, A. S. (2014). Evaluating the performance of variable scheme Xˉ control chart: A Taguchi loss approach. International Journal of Production Research, 52, 5385–5395.
  • Castagliola, P., Celano, G., Costa, A., & Fichera, S. (2011). Constrained economic design of s control charts for random process shifts. International Journal of Quality & Reliability Management, 28, 298–316.
  • De Magalhães, M. S., Costa, A. F. B., & Epprecht, E. K. (2002). Constrained optimization model for the design of an adaptive Xˉ chart. International Journal of Production Research, 40, 3199–3218.
  • De Magalháes, M. S., Epprecht, E. K., & Costa, A. F. B. (2001). Economic design of a VP Xˉ chart. International Journal of Production Economics, 74, 191–200.
  • Guo, Z.-F., Cheng, -L.-S.-L.-S., & Lu, Z.-D. (2014). Economic Design of the Variable Parameters Xˉ Control Chart with a Corrected A&L Switching Rule. Quality and Reliability Engineering International, 30, 235–246.
  • Katebi, M., & Moghadam, M. B. (2019). Optimal statistical, economic and economic statistical designs of attribute np control charts using a full adaptive approach. Communications in Statistics – Theory and Methods, 48, 4528–4549.
  • Keyvandarian, A., Noorossana, R., Hashemian, S. M., & Maryam, S. A. (2017). Adaptive c-chart with estimated parameter. Communications in Statistics – Theory and Methods, 46, 87–103.
  • Kuo, T.-I., & Lee, P.-H. (2013). Design of adaptive s control charts. Journal of Statistical Computation and Simulation, 83, 2002–2014.
  • Lee, M. H., & Khoo, M. B. C. (2017). Synthetic double sampling s chart. Communications in Statistics – Theory and Methods, 46, 5914–5931.
  • Lee, M. H., & Khoo, M. B. C. (2018). Economic-statistical design of synthetic max chart. Quality Technology & Quantitative Management, 15, 301–327.
  • Lee, M. H., & Khoo, M. B. C. (2019). The economic and economic-statistical designs of synthetic double sampling Xˉ chart. Communications in Statistics – Simulation and Computation, 48, 2313–2332.
  • Lee, P.-H., Chang, Y.-C., & Torng, -C.-C. (2012). A design of s control charts with a combined double sampling and variable sampling interval scheme. Communications in Statistics – Theory and Methods, 41, 153–165.
  • Lorenzen, T. J., & Vance, L. C. (1986). The economic design of control charts: A unified approach. Technometrics, 28, 3–10.
  • Lu, S.-L., & Huang, C.-J. (2017). Statistically constrained economic design of maximum double EWMA control charts based on loss functions. Quality Technology & Quantitative Management, 14, 280–295.
  • Moghadam, M. B., Khadem, Y., Fani, S., & Pasha, M. A. (2018). Effects of non-normality on economic and economic statistical designs of Xˉ -control charts with multiple assignable causes and Weibull in-control times. Communications in Statistics – Simulation and Computation, 47, 2055–2069.
  • Naderi, M. H., Moghadam, M. B., & Seif, A. (2018). Economic statistical design of the T2 control chart under the Weibull shock model with multiple assignable causes. Journal of Statistical Computation and Simulation, 88, 1–27.
  • Nenes, G., Castagliola, P., & Celano, G. (2017). Economic and statistical design of VP control charts for finite-horizon processes. IISE Transactions, 49, 110–125.
  • Nenes, G., Tasias, K. A., & Celano, G. (2015). A general model for the economic-statistical design of adaptive control charts for processes subject to multiple assignable causes. International Journal of Production Research, 53, 2146–2164.
  • Pasha, M. A., Moghadam, M. B., Nemathollahi, N., & Fani, S. (2018). A generalized model for multiplicity-cause economic and economic-statistical design of Xˉ - control charts with proportional hazards shock model. Communications in Statistics – Simulation and Computation, 47. doi:10.1080/03610918.2017.1327071.
  • Rakitzis, A. C., & Antzoulakos, D. L. (2011). On the improvement of one-sided s control charts. Journal of Applied Statistics, 38, 2839–2858.
  • Rakitzis, A. C., & Antzoulakos, D. L. (2014). Control charts with switching and sensitizing runs rules for monitoring process variation. Journal of Statistical Computation and Simulation, 84, 37–56.
  • Rakitzis, A. C., & Antzoulakos, D. L. (2016). Run sum control charts for the monitoring of process variability. Quality Technology & Quantitative Management, 13, 58–77.
  • Saadatmelli, A., Seif, A., Moghadam, M. B., & Faraz, A. (2018). Economic statistical design of a multivariate control chart under a Burr XII shock model with multiple assignable causes. Journal of Statistical Computation and Simulation, 88, 2111–2136.
  • Sabahno, H., Amiri, A., & Castagliola, P. (2019). Performance of the variable parameters control chart in presence Xˉ of measurement errors. Journal of Testing and Evaluation, 47, 480–497.
  • Safaei, A. S., Kazemzadeh, R. B., & Niaki, S. T. A. (2012). Multiobjective design of an s control chart for monitoring process variability. International Journal of Multicriteria Decision Making, 2, 408–424.
  • Safe, H., Kazemzadeh, R. B., & Kanani, Y. G. (2018). A Markov chain approach for double-objective economic statistical design of the variable sampling interval Xˉ control chart. Communications in Statistics – Theory and Methods, 47, 277–288.
  • Saniga, E. M. (1989). Economic statistical control-chart designs with an application to Xˉ and R charts. Technometrics, 31, 313–320.
  • Saniga, E. M., Davis, D., McWilliams, T., & Lucas, J. (2018). Statistical CUSUM designs with minimum sampling cost. Quality Technology & Quantitative Management, 15, 475–483.
  • Seif, A. (2018). Multi-objective genetic algorithm for economic statistical design of the T2 control chart with variable sample size: The updated Markov chain approach. Journal of Testing and Evaluation, 46, 1209–1219.
  • Seif, A., Faraz, A., & Saniga, E. (2015). Economic statistical design of the VP Xˉ control chart for monitoring a process under non-normality. International Journal of Production Research, 53, 4218–4230.
  • Tasias, K. A., & Nenes, G. (2018). Economic-statistical design of VP control schemes for joint monitoring of mean and variance in the presence of multiple assignable causes. Quality Technology & Quantitative Management, 15, 484–506.
  • Vakilian, F., Amiri, A., & Faraz, A. (2018). The guaranteed adaptive c-charts with estimated parameter. Quality and Reliability Engineering International, 34, 1575–1589.
  • Wang, R., Fu, F. X., Yuan, J.-C., & Dong, Z.-Y. (2018). Economic design of variable-parameter Xˉ -Shewhart control chart used to monitor continuous production. Quality Technology & Quantitative Management, 15, 106–124.
  • Woodall, W. H. (1986). Weaknesses of the economic design of control charts. Technometrics, 28, 408–409.
  • Yeong, W. C., Lim, S. L., Khoo, M. B. C., & Castagliola, P. (2018). Monitoring the coefficient of variation using a variable parameters chart. Quality Engineering, 30, 212–235.
  • Zhang, G. (2014). Improved R and s control charts for monitoring the process variance. Journal of Applied Statistics, 41, 1260–1273.

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.