داده شد. مراجع [1] Al-Oraini, H., Rahim, M.A. (2003). Economic statistical design of X̄ control charts for systems with gamma ( 5 ,2) in-control times. Journal of Applied Statistics, 30 (4):397-409. doi: 10.1080/0266476032000035430. [2] Bai, D. S., Lee, K. T. (1998). An Economic Design of Variable Sampling Interval X Control Charts. International Journal of Production Economics, 54, 57-64. [3] Banerjee, P.K., Rahim, M.A. (1988). Economic Design of – Control Charts Under Weibull Shock Models. Technometrics, 30 (4):407-414. doi: 10.1080/00401706.1988.10488435. [4] Burr, I.W. (1942). Cumulative frequency distribution. Annals of Mathematical Statistics, 13:215-232. [5] Chen, Y.K. (2004). Economic design of X̄ control charts for non-normal data using variable sampl Journal of Production Economics, 92 (1):61-74. doi: http://dx.doi.org/10.1016/j.ijpe.2003.09.01 1. [6] Chen, H., Cheng, Y. (2007). Non-normality effects on the economic–statistical design of charts with Weibull in-control time. European Journal of Operational Research, 176 (2):986-998. doi: http://dx.doi.org/10.1016/j.ejor.2005.08.02 2. [7] Chen, F.L., Yeh, C.H. (2009). Economic statistical design of non-uniform sampling scheme X bar control charts under nonnormality and Gamma shock using genetic algorithm. Expert Systems with Applications, 36 (5):9488-9497. doi: http://dx.doi.org/10.1016/j.eswa.2009.01.0 18. [8] Cinlar, E. (1975). Introduction to stochastic Process, Englewood Cliffs, NJ, Prentice Hall. [9] Duncan, A.J. (1956). The economic design of X̄ charts used to maintain current control of a process. Journal of American Statistical Association, 51:228- 242. doi: 10.1080/01621459.1956.10501322. [10]Heydari, A.A., Moghadam, M.B. (2017). Non-normality Effects on the Economic Statistical Design of X̄ Control Charts Under Burr XII Shock Models. Iranian Journal of Science and Technology, Transactions A: Science:1-13. doi: 10.1007/s40995-017-0172-6. [11]Heydari, A.A., Moghadam, M.B., & Eskandari, F. (2016). Economic and economic statistical designs of X̄ control charts under Burr XII shock model. International Journal of Quality Engineering and Technology, 6 (1-2). doi: 10.1504/IJQET.2016.081626. [12]Holland, J. H. (1975). Adaptation in nature and artificial system. Ann Arbor, Michigan, USA, The University of Michigan Press. [13]Lorenzen, T.J., Vance, L.C. (1986). The Economic Design of Control Charts: A Unified Approach. Technometrics, 28 (1):3-10. doi: 10.1080/00401706.1986.10488092. [14]Rahim, M.A. (1985). Economic model of chart under non-normality and measurement errors. Computers and Operations Research, 12 (3):291-299. [15]Rahim, M.A., Banerjee, P.K. (1993). A generalized model for the economic design of x̄control charts for production systems with increasing failure rate and early replacement. Naval Research Logistics (NRL), 40 (6):787-809. doi: 10.1002/1520- 6750(199310)40:6<787::AIDNAV3220400605>3.0.CO;2-4. [16] Saniga, E.M. (1989). Economic statistical control chart designs with an application to and R charts. Technometrics, 31:313– 320. [17] Seif, A., Faraz, A., & Saniga, E. (2015). Economic statistical design of the VP control charts for monitoring a process under non-normality. International Journal of Production Research, 53 (14):4218- 4230. doi: 10.1080/00207543.2014.986298. [18]Yang, K.A.I., Hancock, W.M. (1990). Statistical quality control for correlated samples. International Journal of Production Research, 28 (3):595-608. doi: 10.1080/00207549008942738. [19]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 (21):3879-3902. doi: 10.1080/03610926.2010.501939. [20]Yourstone, S.A., Zimmer, W.J. (1992). Non‐Normality and the Design of Control Charts for Averages. Decision sciences, 23 (5):1099-1113.