Construction of New Coefficient of Variation Control Chart based on Median Absolute Deviation

Authors

  • Dashty Ismail Jamil College of Administration and Economic/ Lebanese French University - Erbil, Iraq
  • Dlshad Mahmood Saleh Saleh Salahaddin University - Erbil, Iraq / Aynda Private Technical Institute - Erbil, Iraq
  • Kamaran Hassan Ahmed Cihan University

DOI:

https://doi.org/10.25212/lfu.qzj.2.5.32

Keywords:

quality control chart, coefficient of variation, standard deviation, median absolute deviation.

Abstract

Scale estimators are very important in many statistical applications. A robust estimator is an estimator which is insensitive to changes in the underlying distribution and also resistant against the presence of outliers. Several authors have worked on robust control charts and several robust measures are  experimented in process control. Monitoring the coefficient of variation (C.V) is a successful approach to Statistical Process Control when the process mean and standard deviation are not constant. In recent years the (C.V) has been investigated by many researchers as the monitored statistic for several control charts. The aim of this paper is to construct quality control chart with an application, and using Coefficient of Variation Control Chart based on Median Absolute Deviation. It is concluded that in this study, the process was under control for both cases (phase .1 and phase .2), because all points were fallen within the control limits, which means the product meets the required specifications in (phase-1). We also found that the robust Coefficient of Variation control charts based on Median Absolute Deviation can be used as an alternative instead of Coefficient of Variation Control Chart based on (S.D).

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References

Abu-Shawiesh, M.O.A., (2008). A simple Robust Control Chart Based on MAD, Journal of Mathematics and Statistics, 4(2), 102-107.

Adekeye, K.S. ( 2012(“Derivation of the Limits for Control Chart Using the Median Absolute Deviation for Monitoring Non-Normal Process” Journal of Mathematics and Statistics 8 (1): 37-41, 2012.

Besterfield, D. H. (2004( “Quality Control”. 7thEdition, Prentice-Hall Inc. New York, U.S.A.

Calzada, M. E. and Scariano, S. M. (2011). A synthetic control chart for the coefficient of variation. Journal of Statistical Computation and Simulation, DOI:10.1080/00949655.2011.639772.

Castagliola, P., Celano, G. and Psarakis, S. (2011). Monitoring the coefficient of variation using EWMA charts. Journal of Quality Technology, 43(3), 249-265.

D.C. Montgomery, “Introduction to statistical Quality Control (3rd Edition(”, John Wiley & Sons, Inc., New York, (2001), 217-220.

Mahmoudvand, R. and Hassani, H. (2009). Two new confidence intervals for the coefficient of variation in a normal distribution. Journal of Applied Statistics, 36(4), 429-442.

Rousseeuw, P.J. and Croux, C., (1993). Alternatives to the median absolute deviation, Journal of the American Stat. Assoc., 80, 1273-1283.

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Published

2021-01-24

How to Cite

Dashty Ismail Jamil, Saleh, D. M. S., & Kamaran Hassan Ahmed. (2021). Construction of New Coefficient of Variation Control Chart based on Median Absolute Deviation. QALAAI ZANIST JOURNAL, 2(5), 765–776. https://doi.org/10.25212/lfu.qzj.2.5.32

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Articles