The performance of control charts with economic-statistical design when parameters are estimated
نویسندگان
چکیده
منابع مشابه
Robust economic-statistical design of the EWMA-R control charts for phase II linear profile monitoring
Control charts are powerful tools to monitor quality characteristics of services or production processes. However, in some processes, the performance of process or product cannot be controlled by monitoring a characteristic; instead, they require to be controlled by a function that usually refers as a profile. This study suggests employing exponentially weighted moving average (EWMA) and range ...
متن کاملTitle: On the Statistical Performance of Quality Control Charts with Estimated Parameters
Under estimated in-control parameters, the Phase II control chart performance is expected to vary among practitioners due to the use of different Phase I data sets. Accordingly, the typical measure of Phase II control chart performance, the average run length (ARL), becomes a random variable. In the literature, control charts with estimated parameters were assessed and the appropriate amounts o...
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Finalement, je tiensà remercier ma famille et mes amis pour leur soutien et, tout simple-ment, pour leur présencè a mes côtés en toutes circonstances.
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CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis of the number of inspected items until observing a specific number of defective items. One of the assumptions in implementing CCC-r chart that has a significant effect on the design of the control chart is that the inspection is perfect. However, in reality, due to the multiple reasons, the...
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The performance of attributes control charts (such as c and np charts) is usually evaluated under the assumption of known process parameters (i.e., the nominal proportion of nonconforming units or the nominal number of nonconformities). However, in practice, these process parameters are rarely known and have to be estimated from an in-control phase I data set. In this paper, we derive the run l...
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ژورنال
عنوان ژورنال: Review of Economics and Political Science
سال: 2020
ISSN: 2356-9980,2631-3561
DOI: 10.1108/reps-05-2020-0055