Monitoring for changes in parameters of Weibull processes /
We developed several new statistical process control charts
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| Format: | Thesis Book |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1997.
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| Subjects: | |
| Online Access: | http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=739891111&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
| Summary: | We developed several new statistical process control charts for monitoring for changes in the scale and shape parameter of Weibull processess. Shewhaxt-type control charts on the MLEs of the process parameters were developed. The bootstrap percentile method was used to set up the control limits on each parameter. Using likelihood ratio tests (LRTS) for the change point hypotheses on the Weibull process parameters, we developed change point (CP) control charts for monitoring for changes in the scale and shape parameters of a given magnitude. We considered combinations of these CP charts as possible strategies for monitoring a Weibull process. We also utilize maximum likelihood estimates (MLES) of the process parameters to construct general changes in the parameters. Also, using LRTs for change point hypotheses on the Weibull process parameters, we constructed omnibus control charts. Average run lengths (ARLS) were computed for each control chart. The ARL performances of the control charts were compared over a variety of conditions. Combinations of control charts were considered as different strategies for monitoring Weibull processes. Recommendations based on ARL considerations were made for choosing a strategy for monitoring a Weibilll process. |
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| Item Description: | Vita. "Major Subject: Industrial Engineering". |
| Physical Description: | xii, 106 leaves : illustrations ; 28 cm. Issued also on microfiche from University Microfilms Inc. |
| Bibliography: | Includes bibliographical references: pages 94-96. |