References
- Cassady, C., & Nachlas, J. (2003). Evaluating & implementing 3-level acceptance sampling plans. Quality Engineering, 15(3), 361–369. https://doi.org/10.1081/QEN-120018034
- Cassady, C., & Nachlas, J. A. (2006). Evaluating and implementing three-level control charts. Quality Engineering, 18(3), 285–292. https://doi.org/10.1080/08982110600814851
- Chen, Y. K. (2007). Adaptive sampling enhancement for Hotelling’s T2 charts. European Journal of Operational Research, 178(3), 841–857. https://doi.org/10.1016/j.ejor.2006.03.001
- Chen, Y. K. (2009). Economic design of T2 control charts with the VSSI sampling scheme. Quality and Quantity, 43(1), 109–122. https://doi.org/10.1007/s11135-007-9101-7
- Chong, Z., Khoo, M., & Castagliola, P. (2014). Synthetic double sampling np control chart for attributes. Computers, 75, 157–169. https://doi.org/10.1016/j.cie.2014.06.016
- Chou, C. Y., Chen, C. H., & Liu, H. R. (2006). Economic design of EWMA charts with variable sampling intervals. Quality and Quantity, 40(6), 879–896. https://doi.org/10.1007/s11135-005-8822-8
- Clements, J. (1983). Trinomial sampling plans to match MIL-STD-105D, ASQC. Quality Congress Transactions, 37, 256–264.
- Costa, A. F. B. (1994). X¯ charts with variable sample size. Journal of Quality Technology, 26(3), 155–163. https://doi.org/10.1080/00224065.1994.11979523
- Costa, A. F. B. (1997). X¯ chart with variable sample size and sampling intervals. Journal of Quality Technology, 29(2), 197–204. https://doi.org/10.1080/00224065.1997.11979750
- Costa, A. F. B. (1999). X¯ charts with variable parameters. Journal of Quality Technology, 31(4), 408–416. https://doi.org/10.1080/00224065.1999.11979947
- Costa, A. F. B., & Rahim, M. A. (2001). Economic design of X¯ charts with variable parameters: The Markov chain approach. Journal of Applied Statistics, 28(7), 875–885. https://doi.org/10.1080/02664760120074951
- De Magalhaes, M. S., Epprecht, E. K., & Costa, A. F. B. (2001). Economic design of a VP X¯ control chart. International Journal of Production Economics, 74(1–3), 191–200. https://doi.org/10.1016/S0925-5273(01)00126-8
- Duncan, A. J. (1956). The economic design of X¯ charts used to maintain current control of a process. Journal of American Statistical Association, 51(274), 228–242. https://doi.org/10.1080/01621459.1956.10501322
- Epprecht, E. K., & Costa, A. F. B. (2001). Adaptive sample size control charts for attributes. Quality Engineering,13, 13(3), 465–473. https://doi.org/10.1080/08982110108918675
- Epprecht, E. K., Costa, A. F. B., & Mendes, F. C. T. (2003). Adaptive control charts for attributes. IIE Transactions, 35(6), 567–582. https://doi.org/10.1080/07408170304427
- Epprecht, E. K., Simões, B. F. T., & Mendes, F. C. T. (2010). A variable sampling interval EWMA chart for attributes. International Journal of Advanced Manufactured Technology, 49(1–4), 281–292. https://doi.org/10.1007/s00170-009-2390-3
- Faraz, A., Heuchenne, C., Saniga, E., & Costa, A. F. B. (2014). Double-objective economic statistical design of the VP T2 control chart: Wald’s identity approach. Journal of Statistical Computation and Simulation, 84(10), 2123–2137. https://doi.org/10.1080/00949655.2013.784315
- Faraz, A., & Moghadam, M. B. (2009). Hotelling’s T 2 control chart with two adaptive sample sizes. Quality & Quantity-International Journal of Methodology, 43(6), 903–913. https://doi.org/10.1007/s11135-008-9167-x
- Faraz, A., & Saniga, E. (2011). Economic statistical design of a T2control chart with double warning lines. Quality and Reliability Engineering International, 27(2), 125–139. https://doi.org/10.1002/qre.1095
- Haridy, S., Rahim, M. A., Selim, S. Z., Wu, Z., & Benneyan, J. C. (2017). EWMA chart with curtailment for monitoring fraction nonconforming. Journal of Quality Technology and Quantitative Management, 14(4), 412–428. https://doi.org/10.1080/16843703.2017.1304040
- Jolayemi, J. (2000). An optimal design of multi-attribute control charts for processes subject to a multiplicity of assignable causes. Applied Mathematics and Computation, 114(2), 187–203. https://doi.org/10.1016/S0096-3003(99)00111–3
- 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(18), 4528–4549. https://doi.org/10.1080/03610926.2018.1494837
- Katebi, M., & Moghadam, M. B. (2020). A double sampling multivariate T2 control chart with variable sample size and variable sampling interval. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610918.2020.1716246
- Katebi, M., & Pourtaheri, R. (2019). An economic statistical design of the poisson EWMA control charts for monitoring nonconformities. Journal of Statistical Computation and Simulation, 89(15), 2813–2830. https://doi.org/10.1080/00949655.2019.1638390
- Katebi, M., Pourtaheri, R., & Bameni Moghadam, M. (2016). Economic and economic statistical designs for three-level control charts. Journal of Statistical Computation and Simulation, 86(8), 1463–1478. https://doi.org/10.1080/00949655.2015.1071373
- Katebi, M., Seif, A., & Faraz, A. (2017). Economic and economic-statistical designs of the T2 control charts with SVSSI sampling scheme. Communications in Statistics - Theory and Methods, 46(20), 10149–10165. https://doi.org/10.1080/03610926.2016.1231823
- Kooli, I., & Limam, M. (2011). Economic design of an attribute np control chart using a variable sample size. Sequential Analysis, 30(2), 145–159. https://doi.org/10.1080/07474946.2011.563703
- Kooli, I., & Limam, M. (2014). Economic design of an attribute np control chart using a variable sampling policy. Applied Stochastic Models in Business and Industry, 31(4), 483–494. https://doi.org/10.1002/asmb.2042
- Larpkiattaworn, S. (2003). A neural network approach for multi-attribute process control with comparison of two current techniques and guidelines for practical use. Ph.D. Thesis, University of Pittsburgh.
- Lee, M. H., & Khoo, M. B. C. (2017). Combined double sampling and variable sampling interval np chart. Communications in Statistics - Theory and Methods, 46(23), 11892–11917. https://doi.org/10.1080/03610926.2017.1285924
- Lee, P. H., Torng, C. C., & Liao, L. F. (2012). An economic design of combined double sampling and variable sampling interval X¯ control chart. International Journal of Production Economics, 138(1), 102–106. https://doi.org/10.1016/j.ijpe.2012.03.006
- Lin, Y. C. (2009). The variable parameters X¯ control charts for monitoring auto-correlated processes. Communications in Statistics - Simulation and Computation, 38(4), 729–749. https://doi.org/10.1080/03610910802645339
- Lorenzen, T. J., & Vance, L. C. (1986). The economic design of control charts: A unified approach. Technometrics, 28(1), 3–11. https://doi.org/10.1080/00401706.1986.10488092
- Luo, H., & Wu, Z. (2002). Optimal np control charts with variable sample sizes or variable sampling intervals. Economic Quality Control, 17(1), 39–61. https://doi.org/10.1515/EQC.2002.39
- Mahadik, S. B. (2013a). Variable sample size and sampling interval X¯ charts with runs rules for switching between sample sizes and sampling interval lengths. Quality and Reliability Engineering International, 29(1), 63–76. https://doi.org/10.1002/qre.1293
- Mahadik, S. B. (2013b). X¯ charts with variable sample size, sampling interval, and warning limits. Quality and Reliability Engineering International, 29(4), 535–544. https://doi.org/10.1002/qre.1403
- Mahadik, S. B., & Shirke, D. T. (2009). A special variable sample size and sampling interval X¯ chart. Communications in Statistics-Theory and Methods, 38(8), 1284–1299. https://doi.org/10.1080/03610920802404108
- Mahadik, S. B., & Shirke, D. T. (2011). A special variable sample size and sampling interval Hotelling’s T 2 chart. International Journal of Advanced Manufactured Technology, 53(1–4), 379–384. https://doi.org/10.1007/s00170-010-2819-8
- Marcucci, M. (1985). Monitoring multinomial processes. Journal of Quality Technology, 17(2), 86–91. https://doi.org/10.1080/00224065.1985.11978941
- McWilliams, T. P. (1994). Economic, statistical, and economic-statistical X¯ chart designs. Journal of Quality Technology, 26(3), 227–238. https://doi.org/10.1080/00224065.1994.11979528
- Molnau, W., Montgomery, D. C., & Runger, G. (2001). Statistically constrained economic design of the MEWMA control chart. Quality and Reliability Engineering- International, 17(1), 39–49. https://doi.org/10.1002/qre.379
- Montgomery, D. C. (1980). The economic design of control charts: A review and literature survey. Journal of Quality Technology, 12(2), 75–87. https://doi.org/10.1080/00224065.1980.11980940
- Montgomery, D. C., Torng, J. C. C., Cochran, J. K., & Lawrence, F. P. (1995). Statistically constrained economic design of the EWMA control chart. Journal of Quality Technology, 27(3), 250–256. https://doi.org/10.1080/00224065.1995.11979597
- Newcombe, P., & Allen, O. (1988). A three-class procedure for acceptance sampling by variables. Technometrics, 30(4), 415–421. https://doi.org/10.1080/00401706.1988.10488436
- Niaki, S. T. A., Ershadi, M. J., & Malaki, M. (2010). Economic and economic statistical designs of MEWMA control charts-a hybrid Taguchi loss, Markov chain and genetic algorithm approach. International Journal of Advanced Manufactured Technology, 48(1–4), 283–296. https://doi.org/10.1007/s00170-009-2288-0
- Noorossana, R., Shekary, A. M., & Deheshvar, A. (2015). Combined variable sample size, sampling interval and double sampling (CVSSIDS) adaptive X¯ control charts. Communications in Statistics – Theory and Methods, 44(6), 1255–1269. https://doi.org/10.1080/03610926.2012.762396
- Pourtaheri, R. (2017). Three-level control charts with variable sample size, sampling interval, and control limits. Communications in Statistics - Theory and Methods, 46(4), 1927–1940. https://doi.org/10.1080/03610926.2015.1030426
- Rafiey, S. R., Ghaderi, M. M., & Moghadam, M. B. (2017). A generalized version of Banerjee & Rahim model in economic and economic statistical designs of multivariate control charts under generalized exponential shock model. Communications in Statistics - Theory and Methods, 46(16), 8016–8026. https://doi.org/10.1080/03610926.2016.1171354
- Reynolds, M. R. (1995). Evaluating properties of variable sampling interval control charts. Sequential Analysis, 14(1), 59–97. https://doi.org/10.1080/07474949508836320
- Reynolds, M. R., & Arnold, J. C. (2001). EWMA control charts with variable sample sizes and variable sampling intervals. IIE Transactions, 33(6), 511–530. https://doi.org/10.1080/07408170108936850
- Reynolds, M. R. J., Amin, R. W., Arnold, J. C., & Nachlas, J. A. (1988). X¯ charts with variable sampling intervals. Technometrics, 30(2), 181–192. https://doi.org/10.2307/1270164
- Runger, G. C., & Montgomery, D. C. (1993). Adaptive sampling enhancements for Shewhart control charts. IIE Transactions, 25(3), 41–51. https://doi.org/10.1080/07408179308964289
- Saniga, E. M. (1989). Economic statistical control chart designs with an application to X¯ and R charts. Technometrics, 31(3), 313–320. https://doi.org/10.1080/00401706.1989.10488554
- Saniga, E. M., Davis, D. J., & McWilliams, T. P. (1995). Economic, statistical, and economic-statistical design of attribute charts. Journal of Quality Technology, 27(1), 56–73. https://doi.org/10.1080/00224065.1995.11979559
- Seif, A., Faraz, A., & Saniga, E. (2015). Economic statistical design of the VP X-bar control charts for monitoring a process under non-normality. International Journal of Production Research, 53(14), 4218–4230. https://doi.org/10.1080/00207543.2014.986298
- Shah, D., & Phatak, A. (1973). The maximum likelihood estimation under curtailed three-class attributes plans. Technometrics, 19(2), 159–166. https://doi.org/10.1080/00401706.1977.10489523
- Shapiro, S., & Zahedi, H. (1990). Bernoulli trials and discrete distributions. Journal of Quality Technology, 22(3), 193–205. https://doi.org/10.1080/00224065.1990.11979239
- Tsai, T.-R., & Yen, W.-P. (2011). Exponentially weighted moving average control charts for three-level products. Statistical Papers, 52(2), 419–429. https://doi.org/10.1007/s00362-009-0239-3
- Wan, Q., Wu, Y., Zhou, W., & Chen, X. (2018). Economic design of an integrated adaptive synthetic X¯ chart and maintenance management system. Communications in Statistics - Theory and Methods, 47(11), 2625–2642. https://doi.org/10.1080/03610926.2016.1271425
- Woodall, W. H., Lorenzen, T. J., & Vance, L. C. (1986). Weaknesses of the economical design of control charts. Technometrics, 28(4), 408–409. https://doi.org/10.2307/1269000
- Wu, Z., & Luo, H. (2004). Optimal design of the adaptive sample size and sampling interval np control chart. Quality and Reliability Engineering International, 20(6), 553–570. https://doi.org/10.1002/qre.566
- Wu, Z., Zhang, S., & Wang, P. H. (2007). A CUSUM scheme with variable sample sizes and sampling intervals for monitoring the process mean and variance. Quality and Reliability Engineering International, 23(2), 157–170. https://doi.org/10.1002/qre.782
- Zhou, W., & Lian, Z. (2011). Optimum design of a new VSS-NP chart with adjusting sampling inspection. International Journal of Production Economics, 129(1), 8–13. https://doi.org/10.1016/j.ijpe.2010.07.045
- Zhou, W., Wan, Q., Zheng, Y., & Zhou, Y. W. (2017). A joint-adaptive np control chart with multiple dependent state sampling scheme. Communication in Statistics-Theory and Methods, 46(14), 6967–6979. https://doi.org/10.1080/03610926.2015.1132323
- Zimmer, L. S., Montgomery, D. C., & Runger, G. C. (1998). Evaluation of a three-state adaptive sample size X¯ control chart. International Journal of Production Research, 36(3), 733–743. https://doi.org/10.1080/002075498193660