@article{MAKHILLJEAS201611713757,
    title = {Effects of Misspecification on the Economic-Statistical Design of the Coefficient of Variation Chart},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {11},
    number = {7},
    pages = {1655-1659},
    year = {2016},
    issn = {1816-949x},
    doi = {jeasci.2016.1655.1659},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2016.1655.1659},
    author = {Yeong Wai,Michael Khoo Boon,Lim Sok,Teoh Wei and},
    keywords = {Coefficient of variation chart,economic-statistical design,incorrect specification,increase in cost,rough approximation},
    abstract = {The Coefficient of Variation (CV) chart monitors changes in the ratio of the standard deviation against the mean, instead of monitoring changes in the mean and/or standard deviation. The economic-statistical design of the CV chart allows practitioners to select optimal chart parameters which minimize the cost subject to constraints in the run length. However, a large number of parameters need to be estimated. This study looks at the effects when these parameters are incorrectly estimated. It was found that a minimal increase in cost is shown when the parameters are not estimated accurately, except for the incorrect specification of the shift size and the out-of-control quality cost which shows a slightly higher increase in cost. Thus, only a rough approximation is needed for most of the parameters.}
    }