Economic Statistical Design of Inverse Gaussian Distribution Control Charts

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Description

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 ... continued below

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vii, 104 leaves: ill.

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Grayson, James M. (James Morris) August 1990.

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  • Grayson, James M. (James Morris)

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Description

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.

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vii, 104 leaves: ill.

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UNT Theses and Dissertations

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  • August 1990

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  • Aug. 22, 2014, 6 p.m.

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  • May 12, 2016, 9:26 a.m.

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Grayson, James M. (James Morris). Economic Statistical Design of Inverse Gaussian Distribution Control Charts, dissertation, August 1990; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc332397/: accessed August 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .