An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field

[1]  Lovleen Kumar Grover,et al.  A Generalized Class of Ratio Type Exponential Estimators of Population Mean Under Linear Transformation of Auxiliary Variable , 2014, Commun. Stat. Simul. Comput..

[2]  Hafiz Zafar Nazir,et al.  A double homogeneously weighted moving average control chart for monitoring of the process mean , 2020, Qual. Reliab. Eng. Int..

[3]  Abdul Haq,et al.  A new adaptive EWMA control chart using auxiliary information for monitoring the process mean , 2018 .

[4]  Muhammad Aslam,et al.  Parameter Estimation Effect of the Homogeneously Weighted Moving Average Chart to Monitor the Mean of Autocorrelated Observations With Measurement Errors , 2020, IEEE Access.

[5]  Muhammad Riaz,et al.  Mixed Exponentially Weighted Moving Average–Cumulative Sum Charts for Process Monitoring , 2013, Qual. Reliab. Eng. Int..

[6]  Muhammad Riaz,et al.  Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field , 2021, Comput. Ind. Eng..

[7]  Nasir Abbas,et al.  Homogeneously weighted moving average control chart with an application in substrate manufacturing process , 2018, Comput. Ind. Eng..

[8]  Muhammad Aslam,et al.  An improved Bayesian Modified-EWMA location chart and its applications in mechanical and sport industry , 2020, PloS one.

[9]  E. S. Page CONTINUOUS INSPECTION SCHEMES , 1954 .

[10]  Ying Liu,et al.  An enhanced adaptive CUSUM control chart , 2009 .

[11]  Muhammad Hanif,et al.  A new Max-HEWMA control chart using auxiliary information , 2018, Commun. Stat. Simul. Comput..

[12]  Abdul Haq,et al.  A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean , 2013, Qual. Reliab. Eng. Int..

[13]  Muhammad Riaz,et al.  An adaptive approach to EWMA dispersion chart using Huber and Tukey functions , 2019, Qual. Reliab. Eng. Int..

[14]  Amal K. Shamma,et al.  Development and Evaluation of Control Charts Using Double Exponentially Weighted Moving Averages , 1992 .

[15]  Muhammad Riaz,et al.  On efficient CUSUM-type location control charts using auxiliary information , 2018 .

[16]  Abdul Haq,et al.  A new synthetic control chart for monitoring process mean using auxiliary information , 2016 .

[17]  Muhammad Riaz,et al.  EWMA-type scheme for monitoring location parameter using auxiliary information , 2017, Comput. Ind. Eng..

[18]  Abdul Haq,et al.  A mixed GWMA–CUSUM control chart for monitoring the process mean , 2018 .

[19]  Muhammad Riaz,et al.  Mixed Cumulative Sum–Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location , 2015, Qual. Reliab. Eng. Int..

[20]  Saddam Akber Abbasi,et al.  On the Performance of Auxiliary‐based Control Charting under Normality and Nonnormality with Estimation Effects , 2013, Qual. Reliab. Eng. Int..

[21]  Matthew D. M. Pawley,et al.  Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable , 2019, IEEE Access.

[22]  Muhammad Riaz,et al.  On mixed memory control charts based on auxiliary information for efficient process monitoring , 2020, Qual. Reliab. Eng. Int..

[23]  J. Stuart Hunter,et al.  The exponentially weighted moving average , 1986 .

[24]  Muhammad Riaz,et al.  A mixed HWMA‐CUSUM mean chart with an application to manufacturing process , 2020, Qual. Reliab. Eng. Int..

[25]  A. Haq,et al.  Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean , 2018, Journal of Statistical Computation and Simulation.

[26]  Abdul Haq,et al.  An efficient adaptive EWMA control chart for monitoring the process mean , 2018, Qual. Reliab. Eng. Int..

[27]  Fugee Tsung,et al.  A comparison study of effectiveness and robustness of control charts for monitoring process mean , 2012 .

[28]  Olatunde Adebayo Adeoti,et al.  A hybrid homogeneously weighted moving average control chart for process monitoring , 2020, Quality and Reliability Engineering International.

[29]  Muhammad Riaz,et al.  Monitoring process variability using auxiliary information , 2008, Comput. Stat..

[30]  Abdul Haq,et al.  Memory‐type multivariate control charts with auxiliary information for process mean , 2018, Qual. Reliab. Eng. Int..

[31]  S. W. Roberts,et al.  Control Chart Tests Based on Geometric Moving Averages , 2000, Technometrics.

[32]  Muhammad Riaz,et al.  New Dual Auxiliary Information-Based EWMA Control Chart with an Application in Physicochemical Parameters of Ground Water , 2019 .

[33]  Muhammad Riaz,et al.  An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring , 2019, Comput. Ind. Eng..

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

[35]  Shabbir Ahmad,et al.  A modified-mxEWMA location chart for the improved process monitoring using auxiliary information and its application in wood industry , 2020 .

[36]  Muhammad Hisyam Lee,et al.  Hotelling T 2 control chart based on bivariate ranked set schemes , 2019, Commun. Stat. Simul. Comput..

[37]  Muhammad Riaz,et al.  An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information , 2014 .

[38]  Olatunde A. Adeoti,et al.  Double exponentially weighted moving average control chart with supplementary runs-rules , 2020, Quality Technology & Quantitative Management.

[39]  Muhammad Riaz,et al.  An EWMA monitoring scheme with a single auxiliary variable for industrial processes , 2017, Comput. Ind. Eng..

[40]  M. Riaz,et al.  A New HWMA Dispersion Control Chart with an Application to Wind Farm Data , 2020, Mathematics.

[41]  Chi-Hyuck Jun,et al.  A control chart using an auxiliary variable and repetitive sampling for monitoring process mean , 2015 .

[42]  M. Rueda Garcia,et al.  Repeated substitution method: The ratio estimator for the population variance , 1996 .