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Quality and reliability engineering international, v.32 no.5, 2016년, pp.1637 - 1654
Noorossana, R. (Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran) , Fathizadan, S. (Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran) , Nayebpour, M. R. (Keller Graduate School of Management, DeVry University, Houston, TX, USA)
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Exponentially weighted moving average (EWMA) control charts can be designed to detect shifts in the underlying process parameters quickly while enjoying robustness to non‐normality. Past studies have shown that performance of various EWMA control charts can be adversely affected when parameter...
Montgomery DC . Introduction to statistical quality control ( 6th edn ). Wiley : New York , 2009 .
Robson JG , Troy JB . Nature of the maintained discharge of Q, X, and Y retinal ganglion cells of the cat . Journal of the Optical Society of America A 1987 ; 4 : 2301 – 2307 .
Reiss DJ , Facciotti MT , Baliga NS . Model‐based deconvolution of genome‐wide DNA binding . Bioinformatics 2008 ; 24 : 396 – 403 .
Mendoza‐Parra MA , Nowicka M , Van Gool W , Gronemeyer H . Characterising ChIP‐seq binding patterns by model‐based peak shape deconvolution . BMC Genomics 2013 ; 14 : 834 .
DeVor RE , Chang T , Sutherland JW . Statistical quality design and control contemporary concepts and methods . Prentice‐Hall, Inc., Simon and Schuster : NJ, U.S.A. , 1992 .
Wheeler DJ . Advanced topics in statistical process control: the power of Shewhart's chart . SPC Press : Knoxville, TN , 1995 .
Borror CM , Montgomery DC , Runger GC . Robustness of the EWMA control chart to non‐normality . Journal of Quality Technology 1999 ; 31 : 309 – 316 .
Sim CH . Combined X‐bar and CRL charts for the gamma process . Computational Statistics 2003a ; 18 : 547 – 563 .
Sim CH . Inverse Gaussian control charts for monitoring process variability . Communications in Statistics—Simulation and Computation 2003b ; 32 : 223 – 239 .
Maravelakis P , Panaretos J , Psarakis S . An examination of the robustness to non normality of the EWMA control charts for the dispersion . Communications in Statistics—Simulation and Computation 2005 ; 34 : 1069 – 1079 .
Abbasi SA , Miller A . On proper choice of variability control chart for normal and non‐normal processes . Quality and Reliability Engineering International 2012 ; 28 ( 3 ): 279 – 296 .
Quesenberry CP . The effect of sample size on estimated limits for X ¯ and X control charts . Journal of Quality Technology 1993 ; 25 ( 4 ): 237 – 247 .
Del Castillo E . Run length distributions and economic design of X charts with unknown process variance . Metrika 1996a ; 43 : 189 – 201 .
Chen G . The run length distribution of the R, S, and S2 control charts when σ is estimated . Communications in Statistics—Simulation and Computation 1998 ; 26 : 311 – 322 .
Chakraborti S . Run length, average run length and false alarm rate of Shewhart X chart: exact derivations by conditioning . Communications in Statistics—Simulation and Computation 2000 ; 29 : 61 – 81 .
Jones LA , Champ CW , Rigdon SE . The performance of exponentially weighted moving average charts with estimated parameters . Technometrics 2001 ; 43 ( 2 ): 156 – 167 .
Jones LA , Champ CW , Rigdon SE . The run length distribution of the CUSUM with estimated parameters . Journal of Quality Technology 2004 ; 36 ( 1 ): 95 – 108 .
Jensen WA , Jones‐Farmer LA , Champ CW , Woodall WH . Effects of parameter estimation on control chart properties: a literature review . Journal of Quality Technology 2006 ; 38 : 349 – 364 .
Saleh NA , Mahmoud AM , Abdel‐Salam GA . The performance of the adaptive exponentially weighted moving average control chart with estimated parameters . Quality and Reliability Engineering International 2012 ; 29 : 595 – 606 .
Psarakis S , Vyniou AK , Castagliola P . Some recent developments on the effects of parameter estimation on control charts . Quality and Reliability Engineering International 2013 . doi: 10.1002/qre.1556 .
Sim CH , Wong WK . R‐charts for the exponential, Laplace and logistic processes . Statistical Papers 2003 ; 44 : 535 – 554 .
Braun WJ , Park D . Estimation of σ for individuals charts . Journal of Quality Technology 2008 ; 40 ( 3 ): 332 – 344 .
Abbasi SA , Riaz M , Miller A , Ahmad S . On the performance of phase I dispersion control charts for process monitoring . Quality and Reliability Engineering International 2013 . doi: 10.1002/qre.1703 .
Champ CW , Rigdon SE . A comparison of the Markov chain and the integral equation approaches for evaluating the run length distribution of quality control charts . Communications in Statistics—Simulation and Computation 1991 ; 20 ( 1 ): 191 – 204 .
Brook D , Evans DA . An approach to the probability distribution of CUSUM run length . Biometrika 1972 ; 59 ( 3 ): 539 – 549 .
Lucas JM , Saccucci MS . Exponentially moving average control schemes: properties and enhancements . Technometrics 1990 ; 32 ( 1 ): 1 – 12 .
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