The Coefficient of Variation Chart based on Median Run Length
Ming Ha Lee1, K. S. Khee Yong Si2, XinYing Chew3, Man F. Lau4, Patrick H. H. Then5
1Ming Ha Lee, Department of Computing and Sciences Engineering, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia.
2K. S. Khee Yong Si, Department of Computing and Sciences Engineering, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia.
3XinYing Chew, Department of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
4Man F. Lau, Department of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia.
5Patrick H. H. Then, Department of Computing and Sciences Engineering, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia.
Manuscript received on 27 September 2019 | Revised Manuscript received on 09 November 2019 | Manuscript Published on 22 November 2019 | PP: 213-219 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F10350986S319/19©BEIESP | DOI: 10.35940/ijeat.F1035.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This study suggests a design of the coefficient of variation (CV) chart based on the median run length (MRL). The run length distribution of the CV chart changes from highly skewed when the process is in-control to nearly symmetric when the process is out-of-control at the larger shifts. Therefore, the MRL can be used as an appropriate performance measure to provide a meaningful information for the performance of the CV chart. The procedure for the design of the CV chart based on the MRL will be provided. An industrial example is provided to illustrate the implementation of the CV chart.
Keywords: Coefficient of Variation, Control Chart, Median Run Length, Percentiles of Run Length Distribution, Shift.
Scope of the Article: Robotics and Control