Design and application of dual-EWMA scheme for anomaly detection in injection moulding process

[1]  S. W. Roberts.  Properties of control chart zone tests , 1958 .

[2]  James M. Lucas,et al.  Combined Shewhart-CUSUM Quality Control Schemes , 1982 .

[3]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[4]  Emmanuel Yashchin,et al.  On the Analysis and Design of CUSUM-Shewhart Control Schemes , 1985, IBM J. Res. Dev..

[5]  Donald V. Rosato,et al.  Injection Molding Handbook , 1985 .

[6]  James M. Lucas,et al.  Average Run Lengths for Exponentially Weighted Moving Average Control Schemes Using the Markov Chain Approach , 1990 .

[7]  James M. Lucas,et al.  Exponentially weighted moving average control schemes: Properties and enhancements , 1990 .

[8]  Robert A. Malloy,et al.  Plastic Part Design for Injection Molding , 1994 .

[9]  Giuseppe Titomanlio,et al.  In‐mold shrinkage and stress prediction in injection molding , 1996 .

[10]  Morton Klein.  Composite Shewhart-EWMA statistical control schemes , 1996 .

[11]  S. Albin,et al.  An X and EWMA chart for individual observations , 1997 .

[12]  Ross Sparks,et al.  CUSUM Charts for Signalling Varying Location Shifts , 2000 .

[13]  B.H.M. Sadeghi,et al.  A BP-neural network predictor model for plastic injection molding process , 2000 .

[14]  B. H Min,et al.  A study on quality monitoring of injection-molded parts , 2003 .

[15]  Shad Dowlatshahi.  An application of design of experiments for optimization of plastic injection molding processes , 2004 .

[16]  Marion R. Reynolds,et al.  Should Observations Be Grouped for Effective Process Monitoring? , 2004 .

[17]  Fugee Tsung,et al.  Dual CUSUM control schemes for detecting a range of mean shifts , 2005 .

[18]  Morais Manuel Cabral,et al.  Combined CUSUM–Shewhart Schemes for Binomial Data , 2006 .

[19]  António Pacheco,et al.  Combined CUSUM–Shewhart Schemes for Binomial Data , 2006 .

[20]  Fugee Tsung,et al.  CUSUM and EWMA multi-charts for detecting a range of mean shifts , 2007 .

[21]  Francisco Aparisi,et al.  Design and optimization of EWMA control charts for in-control, indifference, and out-of-control regions , 2007, Comput. Oper. Res..

[22]  Mei Yang,et al.  Optimization designs of the combined Shewhart-CUSUM control charts , 2008, Comput. Stat. Data Anal..

[23]  Yusuf Kaynak,et al.  Experimental investigation of plastic injection molding: Assessment of the effects of cavity pressure and mold temperature on the quality of the final products , 2009 .

[24]  Gyo-Young Cho,et al.  CUSUM charts with variable sampling intervals , 2009 .

[25]  Philippe Castagliola,et al.  Computational Statistics and Data Analysis an Ewma Chart for Monitoring the Process Standard Deviation When Parameters Are Estimated , 2022 .

[26]  Mirigul Altan,et al.  Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods , 2010 .

[27]  Longcheen Huwang,et al.  New EWMA control charts for monitoring process dispersion , 2010, Comput. Stat. Data Anal..

[28]  Mei Yang,et al.  Optimization designs and performance comparison of two CUSUM schemes for monitoring process shifts in mean and variance , 2010, Eur. J. Oper. Res..

[29]  Yusuf Kaynak,et al.  Influence of molding conditions on the shrinkage and roundness of injection molded parts , 2010 .

[30]  Eugenio K. Epprecht,et al.  Performance Comparisons of EWMA Control Chart Schemes , 2010 .

[31]  Sujin Kim,et al.  Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size , 2010 .

[32]  Yu-Chang Lin,et al.  Robustness of the EWMA and the combined X¯–EWMA control charts with variable sampling intervals to non-normality , 2011 .

[33]  Jumat Sulaiman,et al.  Identifying the critical moulding machine parameters affecting injection moulding process by basic statistical process control tools , 2011 .

[34]  Ying Wang,et al.  Integration of economic production quantity in optimization design of control chart based on loss function and random process shift , 2011 .

[35]  Philippe Castagliola,et al.  What are the best sample sizes for the Xbar and CUSUM charts , 2011 .

[36]  Zhang Wu,et al.  Design of EWMA control chart for minimizing the proportion of defective units , 2012 .

[37]  M. Shamsuzzaman,et al.  An optimisation design of the combined np-CUSUM scheme for attributes , 2013 .

[38]  Imad Alsyouf,et al.  An optimization design of the 3-EWMA scheme for monitoring mean shifts , 2014 .

[39]  Imad Alsyouf,et al.  An optimization design of the combined Shewhart-EWMA control chart , 2016 .

[40]  Babar Zaman,et al.  Mixed CUSUM-EWMA chart for monitoring process dispersion , 2016 .

[41]  Canan Bilen,et al.  Dual-monitoring scheme for multivariate autocorrelated cascade processes with EWMA and MEWMA charts , 2017 .

[42]  Salah Haridy,et al.  Effect of sample size on the performance of Shewhart control charts , 2017 .

[43]  Philippe Castagliola,et al.  A side-sensitive modified group runs double sampling (SSMGRDS) control chart for detecting mean shifts , 2018, Commun. Stat. Simul. Comput..

[44]  Amitava Mukherjee,et al.  A comparative study of some EWMA schemes for simultaneous monitoring of mean and variance of a Gaussian process , 2019, Comput. Ind. Eng..

[45]  Abdul Haq,et al.  New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation , 2019, Comput. Ind. Eng..

[46]  Marcus B. Perry,et al.  An EWMA control chart for categorical processes with applications to social network monitoring , 2019, Journal of Quality Technology.

[47]  Philippe Castagliola,et al.  Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length , 2019 .

[48]  Saddam Akber Abbasi,et al.  Enhancing the performance of the EWMA control chart for monitoring the process mean using auxiliary information , 2018, Qual. Reliab. Eng. Int..

[49]  Abdur Rahim,et al.  Design of economic X̄ chart for monitoring electric power loss through transmission and distribution system , 2020 .