Economic design of variable-parameter X-Shewhart control chart used to monitor continuous production

References

• Celano, G., Castagliola, P., & Trovato, E. (2012). The economic performance of a CUSUM t control chart for monitoring short production runs. Quality Technology and Quantitative Management, 9, 329–354.10.1080/16843703.2012.11673297
   Web of Science ®Google Scholar
• Celano, G., De Magalhães, M. S., Costa, A. F. B., & Fichera, S. (2011). A stochastic shift model for economically designed charts constrained by the process stage configuration. International Journal of Production Economics, 132, 315–325.10.1016/j.ijpe.2011.05.003
   Web of Science ®Google Scholar
• Chih, M., Yeh, L. L., & Li, F. C. (2011). Particle swarm optimization for the economic and economic statistical designs of the control chart. Applied Soft Computing, 11, 5053–5067.10.1016/j.asoc.2011.05.053
   Web of Science ®Google Scholar
• Duncan, A. J. (1956). The economic design of X charts used to maintain current control of a process. Journal of the American Statistical Association, 51, 228–242.
   Web of Science ®Google Scholar
• Ganguly, A., & Patel, S. K. (2012). Economic design of control chart using simulated annealing. Procedia Engineering, 38, 1037–1043.10.1016/j.proeng.2012.06.130
   Google Scholar
• Ganguly, A., & Patel, S. K. (2014). A teaching–learning based optimization approach for economic design of X-bar control chart. Applied Soft Computing, 24, 643–653.10.1016/j.asoc.2014.08.022
   Google Scholar
• Gupta, G., & Patel, S. K. (2011). Economic design of X control chart using particle swarmoptimization. International Journal of Advanced Manufacturing Systems, 2, 29–34.
   Google Scholar
• Hu, X. L., Castagliola, P., Sun, J. S., & Khoo, M. B. C. (2016). Economic design of the upper-sided synthetic chart with measurement errors. International Journal of Production Research, 54, 5651–5670.10.1080/00207543.2015.1109721
   Web of Science ®Google Scholar
• Katebi, M., Poortaheri, R., & Moghadam, M. B. (2016). Economic and economic statistical designs for three-level control charts. Journal of Statistical Computation and Simulation, 86, 1464–1478.
   Google Scholar
• Kooli, I., & Limam, M. (2015). Economic design of attribute np control charts using a variable sampling policy. Applied Stochastic Models in Business and Industry, 31, 483–494.10.1002/asmb.v31.4
   Web of Science ®Google Scholar
• Li, C., Mukherjee, A., Su, Q., & Xie, M. (2016). Robust algorithms for economic designing of a nonparametric control chart for abrupt shift in location. Journal of Statistical Computation and Simulation, 86, 306–323.10.1080/00949655.2015.1007985
   Web of Science ®Google Scholar
• Li, C., Mukherjee, A., Su, Q., & Xie, M. (2016b). Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location. International Journal of Production Research, 54, 7259–7273. doi:10.1080/00207543.2016.1173254
   Google Scholar
• Li, C. L., Su, Q., & Xie, M. (2016). Economic modelling for statistical process control subject to a general quality deterioration. International Journal of Production Research, 54, 1753–1770.10.1080/00207543.2015.1056324
   Web of Science ®Google Scholar
• Lim, S. L., Khoo, Michael B. C., Yeong, W. C., & Lee, M. H. (2015). Economic and economic-statistical designs of the side sensitive group runs chart. Computers & Industrial Engineering, 90, 314–325.10.1016/j.cie.2015.10.008
   Web of Science ®Google Scholar
• Lupo, T. (2014). Economic design approach for an SPC inspection procedure implementing the adaptive C chart. Quality and Reliability Engineering International, 30, 545–558.10.1002/qre.v30.4
   Web of Science ®Google Scholar
• Nenes, G. (2011). A new approach for the economic design of fully adaptive control charts. International Journal of Production Economics, 131, 631–642.10.1016/j.ijpe.2011.01.026
   Web of Science ®Google Scholar
• Nenes, G., Castagliola, P., Celano, G., & Panagiotidou, S. (2014). The variable sampling interval control chart for finite-horizon processes. IIE Transactions, 46, 1050–1065.10.1080/0740817X.2013.876128
   Web of Science ®Google Scholar
• Nenes, G., Tasias, K. A., & Celano, G. (2014). 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.
   Google Scholar
• Niaki, S. T. A., Gazaneh, F. M., & Toosheghanian, M. (2013). Economic design of variable sampling interval X-bar control charts for monitoring correlated non normal samples. Communications in Statistics – Theory and Methods, 42, 3339–3358.10.1080/03610926.2011.628769
   Web of Science ®Google Scholar
• Niaki, S. T. A., Toosheghanian, M., & Gazaneh, F. M. (2013). Economic design of VSI X̄ control chart with correlated non-normal data under multiple assignable causes. Journal of Statistical Computation and Simulation, 83, 1279–1300.
   Web of Science ®Google Scholar
• Seif, A., Faraz, A., & Sadeghifar, M. (2015). Evaluation of the economic statistical design of the multivariate T-2 control chart with multiple variable sampling intervals scheme: NSGA-II approach. Journal of Statistical Computation and Simulation, 85, 2442–2455.10.1080/00949655.2014.931404
   Web of Science ®Google Scholar
• Su, N. C., Chiang, J. Y., Chen, S. C., Tsai, T. R., & Shyr, Y. (2014). Economic design of two-stage control charts with skewed and dependent measurements. The International Journal of Advanced Manufacturing Technology, 73, 1387–1397.10.1007/s00170-014-5897-1
   Web of Science ®Google Scholar
• Tasias, K. A., & Nenes, G. (2012). A variable parameter Shewhart control scheme for joint monitoring of process mean and variance. Computers & Industrial Engineering, 63, 1154–1170.10.1016/j.cie.2012.07.008
   Web of Science ®Google Scholar
• Trovato, E., Castagliola, P., Celano, G., & Fichera, S. (2010). Economic design of inspection strategies to monitor dispersion in short production runs. Computers & Industrial Engineering, 59, 887–897.10.1016/j.cie.2010.08.019
   Web of Science ®Google Scholar
• Vijaya, V. B., & Murthy, S. S. N. (2007). A new approach to robust economic design of controlcharts. Applied Soft Computing, 7, 211–228.
   Google Scholar
• Yeh, L. L., Wang, P. K., Li, F. C., & Yeh, Y. M. (2011). An Extension of Economic Design of X-Bar Control Charts for Non Normally Distributed Data under Weibull Shock Models. Communications in Statistics – Theory and Methods, 40, 3879–3902.10.1080/03610926.2010.501939
   Web of Science ®Google Scholar
• Yeong, W. C., Khoo, M. B. C., Lee, M. H., & Rahim, M. A. (2013). Economic and economic statistical designs of the synthetic X chart using loss functions. European Journal of Operational Research, 228, 571–581.10.1016/j.ejor.2013.02.021
   Web of Science ®Google Scholar
• Yeong, W. C., Khoo, M. B. C., Yanjing, O., & Castagliola, P. (2015). Economic-statistical design of the synthetic X chart with estimated process parameters. Quality and Reliability Engineering International, 31, 863–876.10.1002/qre.1645
   Web of Science ®Google Scholar
• Zhang, P., Su, Q., Li, C., & Wang, T. (2014). An economically designed Sequential Probability Ratio Test control chart for short-run production. Computers & Industrial Engineering, 78, 74–83.10.1016/j.cie.2014.10.002
   Web of Science ®Google Scholar