Economic design of a single CUSUM chart with combined one-sided monitoring of process mean / by Matthew Bergenn.

Author/creator Bergenn, Matthew author.
Other author Carolan, Christopher (Christopher A.), degree supervisor.
Other author East Carolina University. Department of Mathematics.
Format Theses and dissertations
Publication[Greenville, N.C.] : [East Carolina University], 2019.
Description48 pages : illustrations
Supplemental ContentAccess via ScholarShip
Subjects

Summary A single, two-sided CUSUM chart utilizing continuously variable sampling intervals and continuously variable sample sizes monitors a process mean and is optimized through an economic design metric. The combined CUSUM statistic is capable of detecting positive and negative shifts simultaneously in one chart, which relies on consecutive indications of either an increase or decrease in mean. A family of polynomial shapes define the rate at which the minimum sample size/maximum sampling interval sweeps to the maximum sample size/minimum sampling interval as the combined CUSUM statistic approaches the boundary. All possible transition probabilities are derived and nine parameters are optimized by minimizing a long-run hourly cost function using 16 different scenarios, varying costs and times spent in/out of control.
General notePresented to the faculty of the Department of Mathematics
General noteAdvisor: Chris Carolan
General noteTitle from PDF t.p. (viewed October 8, 2019).
Dissertation noteM.A. East Carolina University 2019.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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