Statistical quality control (SQC) is one technique companies are using in the development of a Total Quality Management (TQM) culture. Shewhart control charts, a widely used SQC tool, rely on an underlying normal distribution of the data. Often data are skewed. The inverse Gaussian distribution is a probability distribution that is wellsuited to handling skewed data. This analysis develops models and a set of tools usable by practitioners for the constrained economic statistical design of control charts for inverse Gaussian distribution process centrality and process dispersion. The use of this methodology is illustrated by the design of an x-bar chart and a V chart for an inverse Gaussian distributed process.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc332397 |
| Date | 08 1900 |
| Creators | Grayson, James M. (James Morris) |
| Contributors | Kvanli, Alan, Swanson, Carl L., Richards, John Virgil, 1928-, William, Donald R., Spalding, John Barney |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vii, 104 leaves: ill., Text |
| Rights | Public, Grayson, James M. (James Morris), Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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