G
Giovanni Celano
Researcher at University of Catania
Publications - 100
Citations - 2394
Giovanni Celano is an academic researcher from University of Catania. The author has contributed to research in topics: Control chart & Chart. The author has an hindex of 29, co-authored 92 publications receiving 2012 citations. Previous affiliations of Giovanni Celano include University of Palermo.
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Journal ArticleDOI
Monitoring the Coefficient of Variation Using EWMA Charts
TL;DR: In this article, the authors suggest a new method to monitor the coefficient of variation (CV), a quality characteristic that has several applications in applied statistics and is receiving increasing attention in quality control.
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Monitoring the coefficient of variation using a variable sample size control chart in short production runs
TL;DR: In this paper, an adaptive Shewhart control chart implementing a variable sample size (VSS) strategy was proposed to monitor the coefficient of variation in a short production run context.
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Monitoring the Coefficient of Variation Using a Variable Sampling Interval Control Chart
TL;DR: An adaptive Shewhart control chart implementing a variable sampling interval (VSI) strategy is proposed to monitor the coefficient of variation (CV), a quality characteristic that has several applications in applied statistics and is receiving increasing attention in quality control.
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Monitoring the Coefficient of Variation Using Control Charts with Run Rules
TL;DR: In this article, the authors present a new efficient method to monitor the coefficient of variation (CV) by means of Run Rules (RR) type charts, which is a successful approach to Statistical Process Control when the process mean and standard deviation are not constant.
Journal ArticleDOI
Monitoring the coefficient of variation using a variable sample size control chart
TL;DR: In this article, an adaptive Shewhart control chart implementing a variable sample size strategy in order to monitor the coefficient of variation is proposed. But this chart does not handle the variable sampling rate aspect.