PROCEEDINGS of the IABE - 2005 Annual Conference Las Vegas , Nevada , USA Program Chairs :
نویسنده
چکیده
The current popularity of Six Sigma has highlighted the importance of variation reduction in production and service delivery process. In fact, the capability of a company in meeting customers’ quality requirements is primarily determined by the existing variation in their processes. Reducing process variation should be among the top priority for companies pursuing continuous improvement or Six Sigma. Up to now, R-chart and s-chart have been the two frequently used tools to detect departures from acceptable variations in performance measures. However, when multiple measurements are essential to the management, these charts will have difficulties to compare variations across several measurements because they may use different units. The purpose of this paper is to construct a new control chart that uses coefficient of variation. Like other control charts, this new chart could provide early warnings to the abnormality in process variations. To facilitate the development of this control chart, a simulation study will be conducted. Random samples will be generated from a hypothesized population and then processed to provide insight of the sampling distribution of the coefficient of variation. The control chart will be built based on the derived sampling distribution.
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Proceedings of the 2010 International Conference on Internet Computing, ICOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA
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Copying without a fee is permitted provided that the copies are not made or distributed for direct commercial advantage, and credit to source is given. Abstracting is permitted with credit to the source. Please contact the publisher for other copying, reprint, or republication permission. This year, the international conference on Engineering of Reconfigurable Systems and Algorithms (ERSA) cele...
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