Literature DB >> 35706695

Designing a control chart of extended EWMA statistic based on multiple dependent state sampling.

Muhammad Naveed1, Muhammad Azam2, Nasrullah Khan3, Muhammad Aslam4.   

Abstract

In this paper, we presented a memory type control chart (CC) based on multiple dependent state (MDS) sampling to pinpoint the slight variation in the process mean for the quality trait of normal distribution (ND). Two pairs of control limits denominated as internal and external control limits are derived using under control mean and variance. The essential steps are taken to get the value of average run length (ARL) for stable and disturb process. Various tables of ARLs are erected using different smoothing constants, shifts and MDS parameter. Comparisons are established to assess the effectiveness of initiated CC with the various existing CC in term of ARL. It has been ascertained that offered CC manifest the best performance in searching out the diminutive changes in the process mean. Two examples, one is based on simulation study and other is related to real-life data, have been discussed for its practical purpose.
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Entities:  

Keywords:  Multiple dependent state; control chart; normal distribution; smoothing constants

Year:  2019        PMID: 35706695      PMCID: PMC9042040          DOI: 10.1080/02664763.2019.1676405

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


  1 in total

1.  Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart.

Authors:  Stefan H Steiner; Mark Jones
Journal:  Stat Med       Date:  2010-02-20       Impact factor: 2.373

  1 in total

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